[1] Jagrati Agrawal, Yanlei Diao, Daniel Gyllstrom, and Neil Immerman. Efficient pattern matching over event streams. In Proceedings of the 2008 ACM SIGMOD international conference on Management of data - SIGMOD '08, page 147, New York, New York, USA, 2008. ACM Press. [ bib | DOI | http ]
[2] Syed Ishtiaque Ahmed, Md. Romael Haque, Jay Chen, and Nicola Dell. Digital Privacy Challenges with Shared Mobile Phone Use in Bangladesh. Proceedings of the ACM on Human-Computer Interaction, 1:1--20, 2017. [ bib | DOI | http ]
[3] Talayeh Aledavood, Eduardo López, Sam G. B. Roberts, Felix Reed-Tsochas, Esteban Moro, Robin I. M. Dunbar, and Jari Saramäki. Channel-Specific Daily Patterns in Mobile Phone Communication. jul 2015. [ bib | DOI | arXiv | http ]
[4] Lauren Alexander, Shan Jiang, Mikel Murga, and Marta C. González. Origin-destination trips by purpose and time of day inferred from mobile phone data. Transp. Res. Part C: Emerging Tech., 58:240--250, sep 2015. [ bib | DOI | http ]
[5] Essam Algizawy, Tetsuji Ogawa, and Ahmed El-Mahdy. Real-Time Large-Scale Map Matching Using Mobile Phone Data. ACM Transactions on Knowledge Discovery from Data, 11(4):1--38, jul 2017. [ bib | DOI | http ]
[6] Alexander Amini, Kevin Kung, Chaogui Kang, Stanislav Sobolevsky, and Carlo Ratti. The impact of social segregation on human mobility in developing and industrialized regions. EPJ Data Science, 3(1):1--20, dec 2014. [ bib | DOI | arXiv | http ]
[7] Theodoros Anagnostopoulos, Denzil Ferreira, Alexander Samodelkin, Muzamil Ahmed, and Vassilis Kostakos. Cyclist-aware traffic lights through distributed smartphone sensing. Pervasive and Mobile Computing, 31:22--36, sep 2016. [ bib | DOI | http ]
[8] Lars P. Andersen, Birgitte Tufte, Jeanette Rasmussen, and Kara Chan. Tweens and new media in Denmark and Hong Kong. Journal of Consumer Marketing, 24(6):340--350, sep 2007. [ bib | DOI | http ]
[9] Mohammad T. Annafari, Ann Sofie Axelsson, and Erik Bohlin. A socio-economic exploration of mobile phone service have-nots in Sweden. New Media and Society, 16(3):415--433, may 2014. [ bib | DOI | http ]
[10] Mohammad Tsani Annafari and Erik Bohlin. Estimating mobile phone non-subscribers and quasi-subscribers by sampling. In 2009 Global Information Infrastructure Symposium, GIIS '09, pages 1--6. IEEE, jun 2009. [ bib | DOI | http ]
[11] Ayumi Arai, Apichon Witayangkurn, Hiroshi Kanasugi, Teerayut Horanont, Xiaowei Shao, and Ryosuke Shibasaki. Understanding User Attributes from Calling Behavior. In Proceedings of the 12th International Conference on Advances in Mobile Computing and Multimedia - MoMM '14, pages 95--104, New York, New York, USA, 2014. ACM Press. [ bib | DOI | http ]
[12] Vittorio Astarita and Demetrio Carmine Festa. Mobile Systems applied to Traffic Management and Safety : a state of the art DRAFT 2 final Electronic preprint Mobile Systems applied to Traffic Management and Safety : a state of the art. Procedia Computer Science, 134(June):407--414, 2018. [ bib | DOI | http ]
[13] Irfan. Awan, IEEE Computer Society., University of Bradford., Engineering and Physical Sciences Research Council., and Centre for Creative & Cultural Knowledge Exchange. Proceedings, the IEEE 23rd International Conference on Advanced Information Networking and Applications Workshops/Symposia : Bradford, United Kingdom : 26-29 May, 2009. IEEE Computer Society, 2009. [ bib ]
[14] Irfan. Awan, IEEE Computer Society., University of Bradford., Engineering and Physical Sciences Research Council., and Centre for Creative & Cultural Knowledge Exchange. Proceedings, the IEEE 23rd International Conference on Advanced Information Networking and Applications Workshops/Symposia : Bradford, United Kingdom : 26-29 May, 2009. IEEE Computer Society, 2009. [ bib ]
[15] Ricardo Baeza-Yates. Incremental sampling of query logs. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015, pages 1093--1096, 2015. [ bib ]
[16] Ricardo Baeza-Yates. Bias on the Web. Communications of the ACM, 61(6):54--61, may 2018. [ bib | DOI | http ]
[17] James P. Bagrow, Dashun Wang, and Albert László Barabási. Collective response of human populations to large-scale emergencies. PLoS ONE, 6(3):e17680, mar 2011. [ bib | DOI | arXiv | http ]
[18] Duygu Balcan, Vittoria Colizza, Bruno Goncalves, Hao Hu, Jose J. Ramasco, and Alessandro Vespignani. Multiscale mobility networks and the large scale spreading of infectious diseases. Proceedings of the National Academy of Sciences, 106(51):21484--21489, dec 2009. [ bib | DOI | arXiv | http ]
[19] Caterina Balzotti, Andrea Bragagnini, Maya Briani, and Emiliano Cristiani. Understanding Human Mobility Flows from Aggregated Mobile Phone Data. IFAC-PapersOnLine, 51(9):25--30, 2018. [ bib | DOI | arXiv | http ]
[20] Banaji and Greenwald. Blindspot: Hidden Biases of Good People. Bantam, 2016. [ bib ]
[21] Bangladesh University of Engineering and Technology. Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology. ACM Chapter, IEEE Communications Society. Bangladesh Chapter, and Institute of Electrical and Electronics Engineers. Proceedings of 2015 International Conference on Networking Systems and Security (NSysS) : 5-7 January, 2015, Dhaka, Bangladesh. [ bib ]
[22] Hillel Bar-Gera. Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel. Transportation Research Part C: Emerging Technologies, 15(6):380--391, dec 2007. [ bib | DOI | http ]
[23] Hugo Barbosa, Marc Barthelemy, Gourab Ghoshal, Charlotte R. James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J. Ramasco, Filippo Simini, and Marcello Tomasini. Human mobility: Models and applications. Physics Reports, 734:1--74, mar 2018. [ bib | DOI | arXiv | http ]
[24] Ian Barnett, Tarun Khanna, and Jukka Pekka Onnela. Social and spatial clustering of people at humanity's largest gathering. PLoS ONE, 11(6), may 2016. [ bib | DOI | arXiv | http ]
[25] Aleix Bassolas, Jose J. Ramasco, Ricardo Herranz, and Oliva G. Cantu-Ros. Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona. mar 2018. [ bib | arXiv | http ]
[26] Ghassan F. Bati and Vivek K. Singh. Trust Us. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, pages 1--14, New York, New York, USA, 2018. ACM Press. [ bib | DOI | http ]
[27] Mohammed Batran, Mariano Gregorio Mejia, Yoshihide Sekimoto, and Ryosuke Shibasaki. Inference of human spatiotemporal mobility in greater Maputo by mobile phone big data mining. CEUR Workshop Proceedings, 2129(7):1--8, jun 2018. [ bib | DOI | http ]
[28] Michael Batty. Cities as Complex Systems: Scaling, Interaction, Networks, Dynamics and Urban Morphologies. In Encyclopedia of Complexity and Systems Science, pages 1041--1071. Springer New York, New York, NY, 2009. [ bib | DOI | arXiv | http ]
[29] Zoltán Beck, W. T.Luke Teacy, Alex Rogers, and Nicholas R. Jennings. Collaborative online planning for automated victim search in disaster response. Robotics and Autonomous Systems, 100:251--266, feb 2018. [ bib | DOI | http ]
[30] Richard Becker, Chris Volinsky, Ramón Cáceres, Karrie Hanson, Sibren Isaacman, Ji Meng Loh, Margaret Martonosi, James Rowland, Simon Urbanek, and Alexander Varshavsky. Human mobility characterization from cellular network data. Communications of the ACM, 56(1):74, jan 2013. [ bib | DOI | http ]
[31] Punam Bedi and Chhavi Sharma. Community Detection in Social Networks. In Wiley Int. Rev. Data Min. and Knowl. Disc., volume 6, pages 115--135. 2016. [ bib | DOI | http ]
[32] Suhad Faisal Behadili, Cyrille Bertelle, and Loay E. George. Adaptive Modeling of Urban Dynamics during Armada Event using CDRs. International Journal of Information Technology and Computer Science, 9(1):1--8, jul 2017. [ bib | DOI | arXiv | .html ]
[33] Mariano G. Beiró, Loreto Bravo, Diego Caro, Ciro Cattuto, Leo Ferres, and Eduardo Graells-Garrido. Shopping Mall Attraction and Social Mixing at a City Scale. EPJ Data Science, (in press), 2018. [ bib | arXiv | http ]
[34] Rakesh Beiwal and Shweta Beiwal. Mobile phone usage behavior of university students in oman. In Proceedings - 2009 International Conference on New Trends in Information and Service Science, NISS 2009, pages 954--962. IEEE, jun 2009. [ bib | DOI | http ]
[35] Linus Bengtsson, Xin Lu, Anna Thorson, Richard Garfield, and Johan von Schreeb. Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: A post-earthquake geospatial study in haiti. PLoS Medicine, 8(8):e1001083, aug 2011. [ bib | DOI | http ]
[36] Luis M.A. Bettencourt, José Lobo, and Deborah Strumsky. Invention in the city: Increasing returns to patenting as a scaling function of metropolitan size. Research Policy, 36(1):107--120, feb 2007. [ bib | DOI | http ]
[37] Daniel Bjorkegren and Darrell Grissen. Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment. Ssrn, dec 2015. [ bib | DOI | arXiv | http ]
[38] Vincent D. Blondel, Adeline Decuyper, and Gautier Krings. A survey of results on mobile phone datasets analysis. EPJ Data Science, 4(1):1--55, feb 2015. [ bib | DOI | arXiv | http ]
[39] Joshua Blumenstock, Gabriel Cadamuro, and Robert On. Predicting poverty and wealth from mobile phone metadata. Science, 350(6264):1073--1076, nov 2015. [ bib | DOI | http ]
[40] Joshua Blumenstock and Nathan Eagle. Mobile divides. In Proc. of the 4th ACM/IEEE Int. Conf. on Inf. and Comm. Tech. and Devel., pages 1--10, New York, NY, USA, 2010. ACM Press. [ bib | DOI | http ]
[41] Joshua Evan Blumenstock, Mary Gates Hall, and Nathan Eagle. Divided We Call : Disparities in Access and Use of Mobile Phones in Rwanda. Inf. Technol. Int. Dev., 8(2):1--16, 2012. [ bib ]
[42] Andrey Bogomolov, Bruno Lepri, Jacopo Staiano, Emmanuel Letouzé, Nuria Oliver, Fabio Pianesi, and Alex Pentland. Moves on the Street: Classifying Crime Hotspots Using Aggregated Anonymized Data on People Dynamics. Big Data, 3(3):148--158, sep 2015. [ bib | DOI | http ]
[43] Iris Bohnet. What works: Gender equality by design. Belknap Press, Cambridge, MA, 2016. [ bib ]
[44] Mark Bradley, John L. Bowman, and Bruce Griesenbeck. SACSIM: An applied activity-based model system with fine-level spatial and temporal resolution. Journal of Choice Modelling, 3(1):5--31, 2010. [ bib | DOI | http ]
[45] Sanja Brdar, Katarina Gavrić, Dubravko Ćulibrk, and Vladimir Crnojević. Unveiling Spatial Epidemiology of HIV with Mobile Phone Data. Scientific Reports, 6, mar 2016. [ bib | DOI | arXiv | http ]
[46] Jorge Brea, Javier Burroni, Martin Minnoni, and Carlos Sarraute. Harnessing Mobile Phone Social Network Topology to Infer Users Demographic Attributes. nov 2015. [ bib | DOI | arXiv | http ]
[47] D. Brockmann, L. Hufnagel, and T. Geisel. The scaling laws of human travel. Nature, 439(7075):462--465, jan 2006. [ bib | DOI | arXiv | http ]
[48] Dirk Brockmann. Human Mobility and Spatial Disease Dynamics. In Reviews of Nonlinear Dynamics and Complexity, volume 2, pages 1--24. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany, jun 2010. [ bib | DOI | http ]
[49] Caroline O. Buckee and Kenth Engø-Monsen. Mobile phone data for public health: towards data-sharing solutions that protect individual privacy and national security. Technical Report 1606.00864, arXiv, jun 2016. [ bib | arXiv | http ]
[50] Francesco Calabrese, Giusy Di Lorenzo, Liang Liu, and Carlo Ratti. Estimating origin-destination flows using mobile phone location data. IEEE Pervasive Computing, 10(4):36--44, apr 2011. [ bib | DOI | http ]
[51] Francesco Calabrese, Mi Diao, Giusy Di Lorenzo, Joseph Ferreira, and Carlo Ratti. Understanding individual mobility patterns from urban sensing data: A mobile phone trace example. Transportation Research Part C: Emerging Technologies, 26:301--313, jan 2013. [ bib | DOI | http ]
[52] Francesco Calabrese, Laura Ferrari, and Vincent D. Blondel. Urban Sensing Using Mobile Phone Network Data: A Survey of Research. ACM Computing Surveys, 47(2):1--20, nov 2014. [ bib | DOI | http ]
[53] Julián Candia, Marta C. González, Pu Wang, Timothy Schoenharl, Greg Madey, and Albert László Barabási. Uncovering individual and collective human dynamics from mobile phone records. Journal of Physics A: Mathematical and Theoretical, 41(22):224015, jun 2008. [ bib | DOI | arXiv | http ]
[54] Longbing Cao. Data Science. ACM Computing Surveys, 50(3):1--42, jun 2017. [ bib | DOI | http ]
[55] Davide Castelvecchi. Can we open the black box of AI? Nature, 538(7623):20--23, oct 2016. [ bib | DOI | http ]
[56] Damon Centola. The spread of behavior in an online social network experiment. Science, 329(5996):1194--1197, sep 2010. [ bib | DOI | arXiv | http ]
[57] Robert Cervero and Jin Murakami. Effects of built environments on vehicle miles traveled: Evidence from 370 US urbanized areas. Environment and Planning A, 42(2):400--418, feb 2010. [ bib | DOI | http ]
[58] Janet Saltzman Chafetz. Gender equity: An integrated theory of stability and change, volume 176 of SAGE Library of Social Research. Sage Publications, 1989. [ bib ]
[59] Sylvia Chant. The ‘feminisation of poverty’and the ‘feminisation’of anti-poverty programmes: Room for revision? The Journal of Development Studies, 44(2):165--197, 2008. [ bib ]
[60] Ting Yun Chi, Chun Hao Chen, Han Chieh Chao, and Sy Yen Kuo. An efficient earthquake early warning message delivery algorithm using an in time control-theoretic approach. In Lecture Notes in Computer Science, volume 6905 LNCS, pages 161--173. Springer--Verlag, 2011. [ bib | DOI | http ]
[61] Eunjoon Cho, Seth A. Myers, and Jure Leskovec. Friendship and mobility. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11, page 1082, New York, New York, USA, 2011. ACM Press. [ bib | DOI | http ]
[62] Serdar Çolak, Lauren P Alexander, Bernardo G Alvim, Shomik R Mehndiratta, and Marta C González. Analyzing cell phone location data for urban travel: current methods, limitations, and opportunities. Transportation research record: Journal of the transportation research board, 2526:126--135, 2015. [ bib ]
[63] David J. Crandall, Lars Backstrom, Daniel Huttenlocher, and Jon Kleinberg. Mapping the world's photos. In Proceedings of the 18th international conference on World wide web - WWW '09, page 761, New York, New York, USA, 2009. ACM Press. [ bib | DOI | http ]
[64] Balázs Cs Csáji, Arnaud Browet, V. A. Traag, Jean Charles Delvenne, Etienne Huens, Paul Van Dooren, Zbigniew Smoreda, and Vincent D. Blondel. Exploring the mobility of mobile phone users. Physica A: Statistical Mechanics and its Applications, 392(6):1459--1473, nov 2013. [ bib | DOI | arXiv | http ]
[65] Andrea Cuttone, Sune Lehmann, and Jakob Eg Larsen. Inferring human mobility from sparse low accuracy mobile sensing data. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct Publication - UbiComp '14 Adjunct, pages 995--1004, New York, New York, USA, 2014. ACM Press. [ bib | DOI | http ]
[66] Koustuv Dasgupta, Rahul Singh, Balaji Viswanathan, Dipanjan Chakraborty, Sougata Mukherjea, Amit A Nanavati, and Anupam Joshi. Social Ties and their Relevance to Churn in Mobile Telecom Networks. In Edbt, pages 1--10, New York, New York, USA, 2008. ACM Press. [ bib | DOI | http ]
[67] Zolzaya Dashdorj and Stanislav Sobolevsky. Characterization of behavioral patterns exploiting description of geographical areas. In Lecture Notes in Computer Science, volume 9860 LNCS, pages 159--176. 2016. [ bib | DOI | arXiv | http ]
[68] Zolzaya Dashdorj, Stanislav Sobolevsky, Sang Keun Lee, and Carlo Ratti. Deriving human activity from geo-located data by ontological and statistical reasoning. Knowledge-Based Systems, 143:225--235, apr 2018. [ bib | DOI | arXiv | http ]
[69] Juan De Monasterio, Alejo Salles, Carolina Lang, Diego Weinberg, Martin Minnoni, Matias Travizano, and Carlos Sarraute. Analyzing the spread of chagas disease with mobile phone data. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, pages 607--612, jul 2016. [ bib | DOI | arXiv | http ]
[70] Yves-Alexandre De Montjoye, Vincent Blondel, Geoffrey Canright, Sebastien Gambs, Manuel Garcia, Jake Kendall, Nuria Oliver, Alex Rutherford, and Zbigniew Smoreda. Privacy-conscientious use of mobile phone data. Technical report, Massachussetts Institute of Technology, 2016. [ bib | .pdf ]
[71] Yves Alexandre De Montjoye, César A. Hidalgo, Michel Verleysen, and Vincent D. Blondel. Unique in the Crowd: The privacy bounds of human mobility. Scientific Reports, 3(1):1376, dec 2013. [ bib | DOI | http ]
[72] Yves-Alexandre de Montjoye, Luc Rocher, and Alex Sandy Pentland. bandicoot: a Python Toolbox for Mobile Phone Metadata. Journal of Machine Learning Research, 17(175):1--5, 2016. [ bib | .html ]
[73] Marco De Nadai, Jacopo Staiano, Roberto Larcher, Nicu Sebe, Daniele Quercia, and Bruno Lepri. The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective. In Proceedings of the 25th International Conference on World Wide Web - WWW '16, pages 413--423, New York, New York, USA, 2016. ACM Press. [ bib | DOI | arXiv | http ]
[74] Marco De Nadai, Jacopo Staiano, Roberto Larcher, Nicu Sebe, Daniele Quercia, and Bruno Lepri. The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective. mar 2016. [ bib | DOI | arXiv | http ]
[75] Adeline Decuyper, Arnaud Browet, Vincent Traag, Vincent D. Blondel, and Jean-Charles Delvenne. Clean up or mess up: the effect of sampling biases on measurements of degree distributions in mobile phone datasets. sep 2016. [ bib | arXiv | http ]
[76] Adeline Decuyper, Alex Rutherford, Amit Wadhwa, Jean-Martin Bauer, Gautier Krings, Thoralf Gutierrez, Vincent D. Blondel, and Miguel A. Luengo-Oroz. Estimating Food Consumption and Poverty Indices with Mobile Phone Data. nov 2014. [ bib | arXiv | http ]
[77] Pierre Deville, Catherine Linard, Samuel Martin, Marius Gilbert, Forrest R. Stevens, Andrea E. Gaughan, Vincent D. Blondel, and Andrew J. Tatem. Dynamic population mapping using mobile phone data. Proceedings of the National Academy of Sciences, 111(45):15888--15893, nov 2014. [ bib | DOI | http ]
[78] Vasant Dhar. Data Science and Prediction. Ssrn, 56(12):64--73, dec 2012. [ bib | DOI | http ]
[79] Riccardo Di Clemente, Miguel Luengo-Oroz, Matias Travizano, Sharon Xu, Bapu Vaitla, and Marta C. González. Sequence of purchases in credit card data reveal life styles in urban populations. Nature Comm., 9(1):3330, 2017. [ bib | DOI | arXiv | http ]
[80] Giusy Di lorenzo, Marco Luca Sbodio, Francesco Calabrese, Michele Berlingerio, Rahul Nair, and Fabio Pinelli. AllAboard. In Proceedings of the 19th international conference on Intelligent User Interfaces - IUI '14, pages 335--340, New York, New York, USA, 2014. ACM Press. [ bib | DOI | http ]
[81] Nataša Djurdjevac Conrad, Luzie Helfmann, Johannes Zonker, Stefanie Winkelmann, and Christof Schütte. Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach. EPJ Data Science, 7(1):24, dec 2018. [ bib | DOI | http ]
[82] Adrian Dobra, Nathalie E. Williams, and Nathan Eagle. Spatiotemporal detection of unusual human population behavior using mobile phone data. PLoS ONE, 10(3), nov 2015. [ bib | DOI | arXiv | http ]
[83] Xiaowen Dong, Yoshihiko Suhara, Burçin Bozkaya, Vivek K. Singh, Bruno Lepri, and Alex ‘Sandy' Pentland. Social Bridges in Urban Purchase Behavior. ACM Transactions on Intelligent Systems and Technology, 9(3):1--29, dec 2017. [ bib | DOI | http ]
[84] Yuxiao Dong, Fabio Pinelli, Yiannis Gkoufas, Zubair Nabi, Francesco Calabrese, and Nitesh V. Chawla. Inferring unusual crowd events from mobile phone call detail records. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9285:474--492, apr 2015. [ bib | DOI | arXiv | http ]
[85] Mary Douglas. Cultural bias. Technical Report 35, R. Anth. Inst. of Great Britain and Ireland, 1978. [ bib ]
[86] N. Eagle, A. Pentland, and D. Lazer. Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences, 106(36):15274--15278, sep 2009. [ bib | DOI | arXiv | http ]
[87] Nathan Eagle, Yves Alexandre De Montjoye, and Luis M A Bettencourt. Community computing: Comparisons between rural and urban societies using mobile phone data. In Proceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009, volume 4, pages 144--150. IEEE, 2009. [ bib | DOI | http ]
[88] Nathan Eagle, Michael Macy, and Rob Claxton. Network diversity and economic development. Science, 328(5981):1029--1031, may 2010. [ bib | DOI | arXiv | http ]
[89] Nathan Eagle and Alex Pentland. Reality mining: Sensing complex social systems. Personal and Ubiquitous Computing, 10(4):255--268, may 2006. [ bib | DOI | http ]
[90] Sarah Elwood, Michael F. Goodchild, and Daniel Z. Sui. Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice. Annals of the Association of American Geographers, 102(3):571--590, may 2012. [ bib | DOI | http ]
[91] Lisette Esp'in-Noboa, Florian Lemmerich, Philipp Singer, and Markus Strohmaier. Discovering and Explaining Mobility Patterns in Urban Spaces: A Study of Manhattan Taxi Data. In Proceedings of the 6th International Workshop on Location and the Web, pages 186--194, New York, New York, USA, 2016. ACM Press. [ bib | DOI | arXiv | http ]
[92] Jennifer S. Evans-Cowley and Brittany Kubinski. There's an App for That:. In Emerging Issues, Challenges, and Opportunities in Urban E-Planning, pages 33--45. [ bib | DOI | http ]
[93] Imre Felde, Laszlo Nadai, Miklos Mezei, and Gabor Bognar. Characterization of of urban traffic by using mobile phone traces. In 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 3360--3363. IEEE, oct 2014. [ bib | DOI | http ]
[94] Emilio Ferrara, Pasquale De Meo, Salvatore Catanese, and Giacomo Fiumara. Detecting criminal organizations in mobile phone networks. Expert Systems with Applications, 41(13):5733--5750, apr 2014. [ bib | DOI | arXiv | http ]
[95] Emilio Ferrara, Pasquale De Meo, Salvatore Catanese, and Giacomo Fiumara. Visualizing criminal networks reconstructed from mobile phone records. CEUR Workshop Proceedings, 1210, jul 2014. [ bib | arXiv | http ]
[96] Pierdomenico Fiadino and Marc Torrent-Moreno. Big Data in Mobile Networks. In Encyclopedia of Big Data Technologies, pages 1--11. Springer International Publishing, Cham, 2018. [ bib | DOI | http ]
[97] Pierdomenico Fiadino, Danilo Valerio, Fabio Ricciato, and Karin Anna Hummel. Steps towards the extraction of vehicular mobility patterns from 3G signaling data. In Lecture Notes in Computer Science, volume 7189 LNCS, pages 66--80. Springer--Verlag, 2012. [ bib | DOI | http ]
[98] V Frias-Martinez, E Frias-Martinez, and Nuria Oliver. A Gender-Centric Analysis of Calling Behavior in a Developing Economy Using Call Detail Records. Intelligence for Development, pages 37--42, 2010. [ bib | http ]
[99] V Frias-Martinez and J Virseda. On the relationship between socio-economic factors and cell phone usage. In ACM International Conference Proceeding Series, pages 76--84, New York, New York, USA, 2012. ACM Press. [ bib | DOI | http ]
[100] Vanessa Frias-Martinez, Cristina Soguero, and Enrique Frias-Martinez. Estimation of urban commuting patterns using cellphone network data. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing - UrbComp '12, page 9, New York, New York, USA, 2012. ACM Press. [ bib | DOI | http ]
[101] Angelo Furno, Razvan Stanica, and Marco Fiore. A Comparative Evaluation of Urban Fabric Detection Techniques Based on Mobile Traffic Data. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 - ASONAM '15, pages 689--696, New York, New York, USA, 2015. ACM Press. [ bib | DOI | http ]
[102] A. C. Gallup, J. J. Hale, D. J. T. Sumpter, S. Garnier, A. Kacelnik, J. R. Krebs, and I. D. Couzin. Visual attention and the acquisition of information in human crowds. Proceedings of the National Academy of Sciences, 109(19):7245--7250, may 2012. [ bib | DOI | http ]
[103] David Garcia, Yonas Mitike Kassa, Angel Cuevas, Manuel Cebrian, Esteban Moro, Iyad Rahwan, and Ruben Cuevas. Analyzing gender inequality through large-scale Facebook advertising data. Proceedings of the National Academy of Sciences, 115(27):6958--6963, jul 2018. [ bib | DOI | http ]
[104] Jim Giles. Computational social science: Making the links. Nature, 488(7412):448--450, aug 2012. [ bib | DOI | http ]
[105] Marta C. González, César A. Hidalgo, and Albert László Barabási. Understanding individual human mobility patterns. Nature, 453(7196):779--782, jun 2008. [ bib | DOI | arXiv | http ]
[106] Cynthia Gordon, Najma Al Zidjaly, and Alla V. Tovares. Mobile phones as cultural tools for identity construction among college students in Oman, Ukraine, and the U.S. Discourse, Context and Media, 17:9--19, jun 2017. [ bib | DOI | http ]
[107] Eduardo Graells-Garrido, Leo Ferres, Diego Caro, and Loreto Bravo. The effect of Pokémon Go on the pulse of the city: a natural experiment. EPJ Data Science, 6(1):23, dec 2017. [ bib | DOI | arXiv | http ]
[108] Anthony G Greenwald and Linda Hamilton Krieger. Implicit bias: Scientific foundations. California Law Review, 94(4):945--967, 2006. [ bib ]
[109] Thoralf Gutierrez, Gautier Krings, and Vincent D. Blondel. Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets. arXiv, sep 2013. [ bib | arXiv | http ]
[110] Emir Halepovic and Carey Williamson. Characterizing and modeling user mobility in a cellular data network. In Proceedings of the 2nd ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks - PE-WASUN '05, page 71, New York, New York, USA, 2005. ACM Press. [ bib | DOI | http ]
[111] Amin Hanudin. An analysis of mobile credit card usage intentions. Information Management & Computer Security, 15(4):260--269, aug 2007. [ bib | DOI | http ]
[112] Jiang Hao, Marianne Hatzopoulou, and Eric Miller. Integrating an Activity-Based Travel Demand Model with Dynamic Traffic Assignment and Emission Models. Transportation Research Record: Journal of the Transportation Research Board, 2176(1):1--13, jan 2010. [ bib | DOI | http ]
[113] Eszter Hargittai and Gina Walejko. The participation divide: Content creation and sharing in the digital age. Information Communication and Society, 11(2):239--256, 2008. [ bib | DOI ]
[114] Mahedi Hasan and Mohammed Eunus Ali. Estimating Travel Time of Dhaka City from Mobile Phone Call Detail Records. In Proceedings of the Ninth International Conference on Information and Communication Technologies and Development - ICTD '17, pages 1--11, New York, New York, USA, 2017. ACM Press. [ bib | DOI | http ]
[115] Ricardo Hausmann and Laura D Tyson. The Global Gender Gap Report 2017. Technical Report arXiv.1011.1669v3, World Economic Forum, 2017. [ bib | arXiv | http ]
[116] Kurtis Heimerl, Anuvind Menon, Shaddi Hasan, Kashif Ali, Eric Brewer, and Tapan Parikh. Analysis of smartphone adoption and usage in a rural community cellular network. In Proceedings of the Seventh International Conference on Information and Communication Technologies and Development - ICTD '15, pages 1--4, New York, New York, USA, 2015. ACM Press. [ bib | DOI | http ]
[117] Andrea Herrera and Slaven Razmilic. Movilidad urbana: Santiago no es Chile (Urban Mobility: Santiago is not Chile.). Technical report, Development Bank of Latin America, 2018. [ bib | http ]
[118] Juan C. Herrera, Daniel B. Work, Ryan Herring, Xuegang (Jeff) Ban, Quinn Jacobson, and Alexandre M. Bayen. Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment. Transportation Research Part C: Emerging Technologies, 18(4):568--583, aug 2010. [ bib | DOI | http ]
[119] Juan C. Herrera, Daniel B. Work, Ryan Herring, Xuegang (Jeff) Ban, Quinn Jacobson, and Alexandre M. Bayen. Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment. Transportation Research Part C: Emerging Technologies, 18(4):568--583, aug 2010. [ bib | DOI | http ]
[120] Benjamin Mako Hill and Aaron Shaw. The Wikipedia Gender Gap Revisited: Characterizing Survey Response Bias with Propensity Score Estimation. PLoS ONE, 8(6):e65782, jun 2013. [ bib | DOI | http ]
[121] Shawndra Hill, Foster Provost, and Chris Volinsky. Network-Based Marketing: Identifying Likely Adopters via Consumer Networks. Statistical Science, 21(2):256--276, may 2006. [ bib | DOI | arXiv | http ]
[122] Nguyen Thi Hoan, Arul Chib, and Ram Mahalingham. Mobile phones and Gender Empowerment. In Proceedings of the Eighth International Conference on Information and Communication Technologies and Development - ICTD '16, pages 1--10, New York, New York, USA, 2016. ACM Press. [ bib | DOI | http ]
[123] Jake M. Hofman, Amit Sharma, and Duncan J. Watts. Prediction and explanation in social systems. Science, 355(6324):486--488, 2017. [ bib | DOI | http ]
[124] Harri Holma and Antti Toskala. WCDMA for UMTS: HSPA Evolution and LTE: Fifth Edition. John Wiley & Sons, Ltd, Chichester, UK, aug 2010. [ bib | DOI | http ]
[125] Christopher Horn, Heimo Gursch, Roman Kern, and Michael Cik. QZtool—Automatically generated origin-destination matrices from cell phone trajectories. In Advances in Intelligent Systems and Computing, volume 484, pages 823--833. Springer, 2017. [ bib | DOI | http ]
[126] Xian-Sheng Hua, Qi Tian, Alberto Del Bimbo, and Ramesh Jain. Introduction to the special issue on intelligent multimedia systems and technology. ACM Transactions on Intelligent Systems and Technology, 2(2):1--2, jan 2011. [ bib | DOI | http ]
[127] Wei Huang, Hongchao Fan, and Alexander Zipf. Towards Detecting the Crowd Involved in Social Events. ISPRS International Journal of Geo-Information, 6(10):305, oct 2017. [ bib | DOI | http ]
[128] Wei Huang, Shishuo Xu, Yingwei Yan, and Alexander Zipf. An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada. Cities, jul 2018. [ bib | DOI | http ]
[129] Zhengfeng Huang, Zhaodong Huang, Pengjun Zheng, and Wenjun Xu. Calibration of C-Logit-Based SUE Route Choice Model Using Mobile Phone Data. Information, 9(5):115, may 2018. [ bib | DOI | http ]
[130] Chih Chieh Hung and Wen Chih Peng. A regression-based approach for mining user movement patterns from random sample data. Data and Knowledge Engineering, 70(1):1--20, jan 2011. [ bib | DOI | http ]
[131] Ieee and Ieee. {I}nternational {C}onference on {M}obile {D}ata {M}anagement. 2007. [ bib ]
[132] IEEE Computer Society, Institute of Electrical and Electronics Engineers, China) IEEE International Conference on Internet of Things (2013 : Beijing, Physical IEEE International Conference on Cyber, and Social Computing (2013 : Beijing. Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013. 2013. [ bib | http ]
[133] IEEE Computer Society. Technical Committee on Scalable Computing., IEEE Computer Society., Institute of Electrical and Electronics Engineers., St. Francis Xavier University., IEEE International Conference on Social Computing., Security IEEE International Conference on Privacy, and B.C.) EUC 2009 (2009 : Vancouver. Proceedings : 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 : 7th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2009 : 2009 IEEE International Conference on Privacy, Security, Risk, an. IEEE Computer Society, 2009. [ bib ]
[134] José Iglesias, Agapito Ledezma, Araceli Sanchis, and Plamen Angelov. Real-Time Recognition of Calling Pattern and Behaviour of Mobile Phone Users through Anomaly Detection and Dynamically-Evolving Clustering. Applied Sciences, 7(8):798, aug 2017. [ bib | DOI | http ]
[135] Institute of Electrical and Electronics Engineers. IEEE Transactions on Big Data, volume 1. 2015. [ bib | DOI | http ]
[136] Institute of Electrical and Electronics Engineers. and IEEE Communications Society. International Global Information Infrastructure Symposium. Institute of Electrical and Electronics Engineers. [ bib ]
[137] Institute of Electrical and Electronics Engineers, Man Systems, Cybernetics Society, Man IEEE International Conference on Systems, Cybernetics 2014.10.05-08 San Diego, and Calif. IEEE SMC 2014.10.05-08 San Diego. IEEE International Conference on Systems, Man and Cybernetics (SMC), 2014 5-8 Oct. 2014, San Diego, CA, USA ; proceedings. [ bib ]
[138] Michelle Institute of Electrical and Electronics Engineers and Daniel D. Suthers. Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : ASONAM 2016 : San Francisco, CA, USA, August 18-21, 2016. IEEE Press, 2016. [ bib | http ]
[139] Institute of Electrical and Electronics Engineers. Seattle Section, Institute of Electrical and Electronics Engineers. Santa Clara Valley Section, Institute of Electrical and Electronics Engineers. Region 6, and Institute of Electrical and Electronics Engineers. Proceedings of the Fourth IEEE Global Humanitarian Technology Conference : GHTC 2014 : October 10-13, 2014 : San Jose/Silicon Valley, California USA : [Technology for the Benefit of Humanity]. [ bib ]
[140] Instituto Nacional de Estadística. Auditoría Técnica a La Base De Datos del levantamiento Censal año 2012 (Technical Evaluation of the 2012 Census Database). Technical report, Instituto Nacional de Estadísticas, Santiago, 2014. [ bib | .pdf ]
[141] Md Shahadat Iqbal, Charisma F. Choudhury, Pu Wang, and Marta C. González. Development of origin-destination matrices using mobile phone call data. Transportation Res. Part C: Emerging Technologies, 40:63--74, 2014. [ bib | DOI | http ]
[142] Mohd Kamrul Islam and Frances Slack. Women in Rural Bangladesh. In Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance - ICEGOV '15-16, pages 75--84, New York, New York, USA, 2016. ACM Press. [ bib | DOI | http ]
[143] Damien C. Jacques. Mobile Phone Metadata for Development. Technical Report 1806.03086, arXiv, 2018. [ bib | arXiv | http ]
[144] Andreas Janecek, Karin A. Hummel, Danilo Valerio, Fabio Ricciato, and Helmut Hlavacs. Cellular data meet vehicular traffic theory. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp '12, page 361, New York, New York, USA, 2012. ACM Press. [ bib | DOI | http ]
[145] Andreas Janecek, Danilo Valerio, Karin Anna Hummel, Fabio Ricciato, and Helmut Hlavacs. The Cellular Network as a Sensor: From Mobile Phone Data to Real-Time Road Traffic Monitoring. IEEE Transactions on Intelligent Transportation Systems, 16(5):2551--2572, oct 2015. [ bib | DOI | http ]
[146] Olle Järv, Rein Ahas, and Frank Witlox. Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records. Transportation Research Part C: Emerging Technologies, 38:122--135, jan 2014. [ bib | DOI | http ]
[147] Joy Jenniffer and Samundeeswari Vijaya. Analysing Work Tour Motifs From GPS Trajectory Data. i-manager's Journal on Communication Engineering and Systems, 7(2):31, 2018. [ bib | DOI | http ]
[148] Shan Jiang, Joseph Ferreira, and Marta C. González. Clustering daily patterns of human activities in the city. Data Mining and Knowledge Discovery, 25(3):478--510, nov 2012. [ bib | DOI | http ]
[149] Shan Jiang, Joseph Ferreira, and Marta C. Gonzalez. Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore. IEEE Transactions on Big Data, 3(2):208--219, jun 2017. [ bib | DOI | http ]
[150] Shan Jiang, Gaston A. Fiore, Yingxiang Yang, Joseph Ferreira, Emilio Frazzoli, and Marta C. González. A review of urban computing for mobile phone traces. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing - UrbComp '13, page 1, New York, New York, USA, 2013. ACM Press. [ bib | DOI | http ]
[151] Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C. González. The TimeGeo modeling framework for urban motility without travel surveys. Proceedings of the National Academy of Sciences, 113(37):E5370--E5378, sep 2016. [ bib | DOI | http ]
[152] Hang Hyun Jo, Marton Karsai, Janos Kertesz, and Kimmo Kaski. Circadian pattern and burstiness in mobile phone communication. New Journal of Physics, 14, jan 2012. [ bib | DOI | arXiv | http ]
[153] Nuttapong Kaewnoi, Narida Suntiparadonkul, Santi Phithakkitnukoon, and Zbibniew Smoreda. Visualizing mobile phone usage for exploratory analysis. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16, pages 1358--1362, New York, New York, USA, 2016. ACM Press. [ bib | DOI | http ]
[154] Chaogui Kang, Xiujun Ma, Daoqin Tong, and Yu Liu. Intra-urban human mobility patterns: An urban morphology perspective. Physica A: Statistical Mechanics and its Applications, 391(4):1702--1717, feb 2012. [ bib | DOI | http ]
[155] Maria Karatsoli and Eftihia Nathanail. A Thorough Review of Big Data Sources and Sets Used in Transportation Research. pages 540--550. 2018. [ bib | DOI | http ]
[156] Takehiro Kashiyama, Yanbo Pang, and Yoshihide Sekimoto. Open PFLOW: Creation and evaluation of an open dataset for typical people mass movement in urban areas. Transportation Research Part C: Emerging Technologies, 85:249--267, dec 2017. [ bib | DOI | http ]
[157] F.H. Khan, M.E. Ali, and H. Dev. A hierarchical approach for identifying user activity patterns from mobile phone call detail records. In Proceedings of 2015 International Conference on Networking Systems and Security, NSysS 2015, number February, pages 1--6. IEEE, jan 2015. [ bib | DOI | http ]
[158] Satoshi Koide, Yukihiro Tadokoro, Takayoshi Yoshimura, Chuan Xiao, and Yoshiharu Ishikawa. Enhanced Indexing and Querying of Trajectories in Road Networks via String Algorithms. ACM Transactions on Spatial Algorithms and Systems, 4(1):1--41, jun 2018. [ bib | DOI | http ]
[159] Lauri Kovanen, Jari Saramaki, and Kimmo Kaski. Reciprocity of mobile phone calls. feb 2010. [ bib | arXiv | http ]
[160] Coco Krumme, Alejandro Llorente, Manuel Cebrian, Alex Pentland, and Esteban Moro. The predictability of consumer visitation patterns. Scientific Reports, 3(1):1645, dec 2013. [ bib | DOI | arXiv | http ]
[161] Kevin S. Kung, Kael Greco, Stanislav Sobolevsky, and Carlo Ratti. Exploring universal patterns in human home-work commuting from mobile phone data. PLoS ONE, 9(6), nov 2014. [ bib | DOI | arXiv | http ]
[162] Wei-Kuang Lai and Ting-Huan Kuo. Vehicle Positioning and Speed Estimation Based on Cellular Network Signals for Urban Roads. ISPRS International Journal of Geo-Information, 5(10):181, oct 2016. [ bib | DOI | http ]
[163] Robert Larsen. Using Cellular Phones As Traffic Probes. Traffic Technology International, pages 46--50, 1996. [ bib | http ]
[164] David Lazer, Alex Pentland, Lada Adamic, Sinan Aral, Albert László Barabási, Devon Brewer, Nicholas Christakis, Noshir Contractor, James Fowler, Myron Gutmann, Tony Jebara, Gary King, Michael Macy, Deb Roy, and Marshall Van Alstyne. Social science: Computational social science. Science, 323(5915):721--723, feb 2009. [ bib | DOI | http ]
[165] Jae-Gil Lee, Jiawei Han, and Kyu-Young Whang. Trajectory clustering. In Proceedings of the 2007 ACM SIGMOD international conference on Management of data - SIGMOD '07, page 593, New York, New York, USA, 2007. ACM Press. [ bib | DOI | http ]
[166] Yan Leng, Alejandro Noriega, Alex 'Sandy' Pentland, Ira Winder, Nina Lutz, and Luis Alonso. Analysis of Tourism Dynamics and Special Events through Mobile Phone Metadata. oct 2016. [ bib | arXiv | http ]
[167] Maxime Lenormand, Thomas Louail, Oliva G. Cantú-Ros, Miguel Picornell, Ricardo Herranz, Juan Murillo Arias, Marc Barthelemy, Maxi San Miguel, and José J. Ramasco. Influence of sociodemographics on human mobility. Scientific Reports, 5(1):10075, sep 2015. [ bib | DOI | arXiv | http ]
[168] Bruno Lepri, Jacopo Staiano, David Sangokoya, Emmanuel Letouzé, and Nuria Oliver. The Tyranny of Data? The Bright and Dark Sides of Data-Driven Decision-Making for Social Good. pages 3--24. 2016. [ bib | DOI | arXiv | http ]
[169] Miaoyi Li, Nawei Wu, Xiaoyong Tang, and Jia Lu. Understanding Job-Housing Relationship from Cell Phone Data Based on Hadoop. pages 359--387. 2018. [ bib | DOI | http ]
[170] Ming-Xia Li, Zhi-Qiang Jiang, Wen-Jie Xie, Salvatore Miccichè, Michele Tumminello, Wei-Xing Zhou, and Rosario N. Mantegna. A comparative analysis of the statistical properties of large mobile phone calling networks. Scientific Reports, 4(1):5132, feb 2015. [ bib | DOI | arXiv | http ]
[171] Ming Xia Li, Wen Jie Xie, Zhi Qiang Jiang, and Wei Xing Zhou. Communication cliques in mobile phone calling networks. Journal of Statistical Mechanics: Theory and Experiment, 2015(11), sep 2015. [ bib | DOI | arXiv | http ]
[172] Chun Hsiung Liao, Chun Wang Tsou, and Ming Feng Huang. Factors influencing the usage of 3G mobile services in Taiwan. Online Information Review, 31(6):759--774, nov 2007. [ bib | DOI | arXiv | http ]
[173] Lin Liao, Donald J. Patterson, Dieter Fox, and Henry Kautz. Learning and inferring transportation routines. Artificial Intelligence, 171(5-6):311--331, apr 2007. [ bib | DOI | http ]
[174] Yongjun Liao, Wei Du, Márton Karsai, Carlos Sarraute, Martin Minnoni, and Eric Fleury. Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services. jun 2017. [ bib | arXiv | http ]
[175] Feng Ling, Tianyue Sun, Xinning Zhu, Qingqing Chen, Xiaosheng Tang, and Xin Ke. Mining travel behaviors of tourists with mobile phone data: A case study in Hainan. In 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings, pages 1524--1529. IEEE, oct 2017. [ bib | DOI | http ]
[176] Feng Liu, Davy Janssens, Jianxun Cui, Yunpeng Wang, Geert Wets, and Mario Cools. Building a validation measure for activity-based transportation models based on mobile phone data. Expert Systems with Applications, 41(14):6174--6189, oct 2014. [ bib | DOI | http ]
[177] Feng Liu, Davy Janssens, Geert Wets, and Mario Cools. Annotating mobile phone location data with activity purposes using machine learning algorithms. Expert Systems with Applications, 40(8):3299--3311, jun 2013. [ bib | DOI | http ]
[178] Yang Liu, Yanjie Ji, Zhuangbin Shi, Baohong He, and Qiyang Liu. Investigating the effect of the spatial relationship between home, workplace and school on parental chauffeurs' daily travel mode choice. Transport Policy, 69:78--87, oct 2018. [ bib | DOI | http ]
[179] Thomas Louail, Maxime Lenormand, Oliva G. Cantu Ros, Miguel Picornell, Ricardo Herranz, Enrique Frias-Martinez, José J. Ramasco, and Marc Barthelemy. From mobile phone data to the spatial structure of cities. Scientific Reports, 4(1):5276, may 2014. [ bib | DOI | arXiv | http ]
[180] Shiwei Lu, Zhixiang Fang, Xirui Zhang, Shih-Lung Shaw, Ling Yin, Zhiyuan Zhao, Xiping Yang, Shiwei Lu, Zhixiang Fang, Xirui Zhang, Shih-Lung Shaw, Ling Yin, Zhiyuan Zhao, and Xiping Yang. Understanding the Representativeness of Mobile Phone Location Data in Characterizing Human Mobility Indicators. ISPRS Int. J. of Geo-Information, 6(1):7, 2017. [ bib | DOI | http ]
[181] X. Lu, L. Bengtsson, and P. Holme. Predictability of population displacement after the 2010 Haiti earthquake. Proceedings of the National Academy of Sciences, 109(29):11576--11581, jul 2012. [ bib | DOI | http ]
[182] Xin Lu, David J. Wrathall, Pål Roe Sundsøy, Md Nadiruzzaman, Erik Wetter, Asif Iqbal, Taimur Qureshi, Andrew J. Tatem, Geoffrey S. Canright, Kenth Engø-Monsen, and Linus Bengtsson. Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen. Climatic Change, 138(3-4):505--519, oct 2016. [ bib | DOI | http ]
[183] Mingqi Lv, Ling Chen, Yanbin Shen, and Gencai Chen. Measuring cell-id trajectory similarity for mobile phone route classification. Knowledge-Based Systems, 89:181--191, nov 2015. [ bib | DOI | http ]
[184] Marco Mamei, Massimo Colonna, and Marco Galassi. Automatic identification of relevant places from cellular network data. Pervasive and Mobile Computing, 31:147--158, sep 2016. [ bib | DOI | http ]
[185] Huina Mao, Xin Shuai, Yong Yeol Ahn, and Johan Bollen. Quantifying socio-economic indicators in developing countries from mobile phone communication data: applications to Côte d'Ivoire. EPJ Data Science, 4(1):1--16, dec 2015. [ bib | DOI | http ]
[186] Huina Mao, Gautam Thakur, and Budhendra Bhaduri. Exploiting mobile phone data for multi-category land use classification in Africa. In Proceedings of the 2nd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics - UrbanGIS '16, pages 1--6, New York, New York, USA, 2016. ACM Press. [ bib | DOI | http ]
[187] Helen Margetts. The Computational Social Science Society of the Americas | CSSSA. [ bib | http ]
[188] Eduardo Alejandro Martínez-Cesena, Pierluigi Mancarella, Mamadou Ndiaye, and Markus Schläpfer. Using Mobile Phone Data for Electricity Infrastructure Planning. (Mv):9, apr 2015. [ bib | arXiv | .pdf ]
[189] Joan T. Matamalas, Manlio De Domenico, and Alex Arenas. Assessing reliable human mobility patterns from higher order memory in mobile communications. Journal of the Royal Society Interface, 13(121):20160203, aug 2016. [ bib | DOI | arXiv | http ]
[190] Ian McCallum, Wei Liu, Linda See, Reinhard Mechler, Adriana Keating, Stefan Hochrainer-Stigler, Junko Mochizuki, Steffen Fritz, Sumit Dugar, Miguel Arestegui, Michael Szoenyi, Juan Carlos Laso Bayas, Peter Burek, Adam French, and Inian Moorthy. Technologies to Support Community Flood Disaster Risk Reduction. International Journal of Disaster Risk Science, 7(2):198--204, jun 2016. [ bib | DOI | http ]
[191] Abhinav Mehrotra, Sandrine R. Müller, Gabriella M. Harari, Samuel D. Gosling, Cecilia Mascolo, Mirco Musolesi, and Peter J. Rentfrow. Understanding the Role of Places and Activities on Mobile Phone Interaction and Usage Patterns. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3):1--22, sep 2017. [ bib | DOI | arXiv | http ]
[192] Abhinav Mehrotra, Fani Tsapeli, Robert Hendley, and Mirco Musolesi. MyTraces. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3):1--21, sep 2017. [ bib | DOI | http ]
[193] Anita Mehrotra, Ashley Nguyen, Joshua Blumenstock, and Viraj Mohan. Differences in phone use between men and women. In Proceedings of the Fifth International Conference on Information and Communication Technologies and Development - ICTD '12, page 297, New York, New York, USA, 2012. ACM Press. [ bib | DOI | http ]
[194] Yelena Mejova, Harsh Rajiv Gandhi, Tejas Jivanbhai Rafaliya, Mayank Rameshbhai Sitapara, Ridhi Kashyap, and Ingmar Weber. Measuring Subnational Digital Gender Inequality in India through Gender Gaps in Facebook Use. In Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) - COMPASS '18, pages 1--5, New York, New York, USA, 2018. ACM Press. [ bib | DOI | http ]
[195] Sandro Meloni, Nicola Perra, Alex Arenas, Sergio Gómez, Yamir Moreno, and Alessandro Vespignani. Modeling human mobility responses to the large-scale spreading of infectious diseases. Scientific Reports, 1(1):62, dec 2011. [ bib | DOI | http ]
[196] J. Mervis. Agencies Rally to Tackle Big Data. Science, 336(6077):22--22, apr 2012. [ bib | DOI | http ]
[197] Johnnatan Messias, Pantelis Vikatos, and Fabrício Benevenuto. White, man, and highly followed: Gender and race inequalities in Twitter. In Proceedings of the International Conference on Web Intelligence, WI '17, pages 266--274, New York, NY, USA, 2017. ACM. [ bib | DOI | http ]
[198] Johnnatan Messias, Pantelis Vikatos, and Fabricio Benevenuto. White, Man, and Highly Followed: Gender and Race Inequalities in Twitter. In Proceedings of the International Conference on Web Intelligence - WI '17, pages 266--274, New York, New York, USA, 2017. ACM Press. [ bib | DOI | arXiv | http ]
[199] Giovanna Miritello, Esteban Moro, Rubén Lara, Rocío Martínez-López, John Belchamber, Sam G.B. Roberts, and Robin I.M. Dunbar. Time as a limited resource: Communication strategy in mobile phone networks. Social Networks, 35(1):89--95, jan 2013. [ bib | DOI | arXiv | http ]
[200] Nancy Mock, Nathan Morrow, and Adam Papendieck. From complexity to food security decision-support: Novel methods of assessment and their role in enhancing the timeliness and relevance of food and nutrition security information. Global Food Security, 2(1):41--49, mar 2013. [ bib | DOI | http ]
[201] Daniel Monsivais, Asim Ghosh, Kunal Bhattacharya, Robin I.M. Dunbar, and Kimmo Kaski. Tracking urban human activity from mobile phone calling patterns. PLoS Computational Biology, 13(11), apr 2017. [ bib | DOI | arXiv | http ]
[202] Alfredo Jose Morales, Werner Creixell, Javier Borondo, Juan Carlos Losada, and Rosa Maria Benito. Characterizing ethnic interactions from human communication patterns in Ivory Coast. Networks and Heterogeneous Media, 10(1):87--99, feb 2015. [ bib | DOI | http ]
[203] Stephen L Morgan and Christopher Winship. Counterfactuals and causal inference. Cambridge University Press, 2015. [ bib ]
[204] Benyounes Moumni, Vanessa Frias-Martinez, and Enrique Frias-Martinez. Characterizing social response to urban earthquakes using cell-phone network data. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication - UbiComp '13 Adjunct, pages 1199--1208, New York, New York, USA, 2013. ACM Press. [ bib | DOI | http ]
[205] Abbe Mowshowitz and Akira Kawaguchi. Bias on the web. Communications of the ACM, 45(9):56--60, may 2002. [ bib | DOI | http ]
[206] Juha Munnukka. Dynamics of price sensitivity among mobile service customers. Journal of Product and Brand Management, 14(1):65--73, jan 2005. [ bib | DOI | http ]
[207] Juha Munnukka. Characteristics of early adopters in mobile communications markets. Marketing Intelligence & Planning, 25(7):719--731, oct 2007. [ bib | DOI | http ]
[208] Amit A. Nanavati, Siva Gurumurthy, Gautam Das, Dipanjan Chakraborty, Koustuv Dasgupta, Sougata Mukherjea, and Anupam Joshi. On the structural properties of massive telecom call graphs. In Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06, page 435, New York, New York, USA, 2006. ACM Press. [ bib | DOI | http ]
[209] M Nasim, A Rextin, N Khan, and MM Malik. On Temporal Regularity in Social Interactions: Predicting Mobile Phone Calls. arXiv preprint arXiv:1512.08061, dec 2015. [ bib | arXiv | http ]
[210] Tempestt J Neal and Damon L Woodard. A Gender-Specific Behavioral Analysis of Mobile Device Usage Data. In 2018 IEEE 4th International Conference on Identity, Se- curity, and Behavior Analysis (ISBA), pages 1--8. IEEE, jan 2018. [ bib | DOI | http ]
[211] Daniel Neyland. Bearing Account-able Witness to the Ethical Algorithmic System. Science Technology and Human Values, 41(1):50--76, 2016. [ bib | DOI | arXiv | .pdf ]
[212] Alejandro Noriega-campero, Yves A De Montjoye, and Alex Pentland. Mapping the Privacy-Utility Tradeoff in Mobile Phone Data for Development. pages 1--9, aug 2018. [ bib | arXiv | http ]
[213] A. Obach and M. Sadler. Cuerpo femenino, medicina y poder: reflexiones en torno a las disrupciones en la atención de salud reproductiva (female body, medicine and power: reflections around disruptions of reproductive healthcare). In Nación golpeadora, manifestaciones y latencias de la violencia machista (Battering Nation, Manifestations and Heartbeats of Sexist Violence). Red chilena contra la violencia doméstica y sexual (Chilean network against domestic and sexual violence), 2009. [ bib ]
[214] Michael Wole Olatokun and Ibilola Oluseyi Bodunwa. GSM usage at the University of Ibadan. Electronic Library, 24(4):530--547, jul 2006. [ bib | DOI | http ]
[215] Alexandra Olteanu, Carlos Castillo, Fernando Diaz, and Emre Kiciman. Social data: Biases, methodological pitfalls, and ethical boundaries. Technical Report 2886566, SSRN Electronic Journal, 01 2016. [ bib ]
[216] J. P. Onnela, J. Saramaki, J. Hyvonen, G. Szabo, D. Lazer, K. Kaski, J. Kertesz, and A. L. Barabasi. Structure and tie strengths in mobile communication networks. Proceedings of the National Academy of Sciences, 104(18):7332--7336, may 2006. [ bib | DOI | arXiv | http ]
[217] A. Overeem, H. Leijnse, and R. Uijlenhoet. Country-wide rainfall maps from cellular communication networks. Proceedings of the National Academy of Sciences, 110(8):2741--2745, feb 2013. [ bib | DOI | http ]
[218] Luca Pappalardo, Dino Pedreschi, Zbigniew Smoreda, and Fosca Giannotti. Using big data to study the link between human mobility and socio-economic development. In 2015 IEEE International Conference on Big Data (Big Data), pages 871--878. IEEE, oct 2015. [ bib | DOI | http ]
[219] Luca Pappalardo, Filippo Simini, Salvatore Rinzivillo, Dino Pedreschi, Fosca Giannotti, and Albert László Barabási. Returners and explorers dichotomy in human mobility. Nature Communications, 6(1):8166, dec 2015. [ bib | DOI | http ]
[220] David Pastor-Escuredo, Alfredo Morales-Guzmán, Yolanda Torres-Fernández, Jean Martin Bauer, Amit Wadhwa, Carlos Castro-Correa, Liudmyla Romanoff, Jong Gun Lee, Alex Rutherford, Vanessa Frias-Martinez, Nuria Oliver, Enrique Frias-Martinez, and Miguel Luengo-Oroz. Flooding through the lens of mobile phone activity. Proceedings of the 4th IEEE Global Humanitarian Technology Conference, GHTC 2014, pages 279--286, nov 2014. [ bib | DOI | arXiv | http ]
[221] David Pastor-Escuredo, Alfredo Morales-Guzmán, Yolanda Torres-Fernández, Jean Martin Bauer, Amit Wadhwa, Carlos Castro-Correa, Liudmyla Romanoff, Jong Gun Lee, Alex Rutherford, Vanessa Frias-Martinez, Nuria Oliver, Enrique Frias-Martinez, and Miguel Luengo-Oroz. Flooding through the lens of mobile phone activity. In Proceedings of the 4th IEEE Global Humanitarian Technology Conference, GHTC 2014, pages 279--286. IEEE, oct 2014. [ bib | DOI | arXiv | http ]
[222] David Pastor-Escuredo, Thierry Savy, and Miguel a. Luengo-Oroz. Can Fires, Night Lights, and Mobile Phones reveal behavioral fingerprints useful for Development? pages 1--14, jan 2015. [ bib | arXiv | http ]
[223] Tao Pei, Stanislav Sobolevsky, Carlo Ratti, Shih-Lung Shaw, Ting Li, and Chenghu Zhou. A new insight into land use classification based on aggregated mobile phone data. International Journal of Geographical Information Science, 28(9):1988--2007, oct 2014. [ bib | DOI | arXiv | http ]
[224] Alex Pentland. The data-driven society. Scientific American, 309(4):78--83, sep 2013. [ bib | DOI | http ]
[225] Fernando Peruani and Lionel Tabourier. Directedness of information flow in mobile phone communication networks. PLoS ONE, 6(12), feb 2011. [ bib | DOI | arXiv | http ]
[226] Santi Phithakkitnukoon, Teerayut Horanont, Giusy Di Lorenzo, Ryosuke Shibasaki, and Carlo Ratti. Activity-aware map: Identifying human daily activity pattern using mobile phone data. In Lecture Notes in Computer Science, volume 6219 LNCS, pages 14--25. Springer, 2010. [ bib | DOI | arXiv | http ]
[227] Santi Phithakkitnukoon, Teerayut Horanont, Apichon Witayangkurn, Raktida Siri, Yoshihide Sekimoto, and Ryosuke Shibasaki. Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan. Pervasive and Mobile Computing, 18:18--39, apr 2015. [ bib | DOI | http ]
[228] Mobile Phone, Records Reveal, Largest Gathering, Mobile Phone, Records Reveal, and Largest Gathering. 7/1/2016 Mobile Phone Records Reveal Largest Gathering in the History of Humanity. pages 1--5, 2016. [ bib | http ]
[229] Miguel Picornell, Tomás Ruiz, Maxime Lenormand, José J. Ramasco, Thibaut Dubernet, and Enrique Frías-Martínez. Exploring the potential of phone call data to characterize the relationship between social network and travel behavior. Transportation, 42(4):647--668, jul 2015. [ bib | DOI | http ]
[230] Abdul Rawoof Pinjari. Activity-based Travel Demand Analysis. In A Handbook of Transport Economics. Edward Elgar Publishing. [ bib | DOI | http ]
[231] L. Piwek and Adam Joinson. Automatic Tracking of Behavior With Smartphones: Potential for Behavior Change Interventions. In Behavior Change Research and Theory: Psychological and Technological Perspectives, pages 137--165. Elsevier, 2016. [ bib | DOI | http ]
[232] Tian Qin, Wufan Shangguan, Guojie Song, and J I E Tang. Spatio-Temporal Routine Mining on Mobile Phone Data. ACM Transactions on Knowledge Discovery from Data, 12(5):1--24, jun 2018. [ bib | DOI | http ]
[233] Gyan Ranjan, Hui Zang, Zhi-Li Zhang, and Jean Bolot. Are call detail records biased for sampling human mobility? ACM SIGMOBILE Mobile Computing and Communications Review, 16(3):33, dec 2012. [ bib | DOI | http ]
[234] Carlo Ratti, Dennis Frenchman, Riccardo Maria Pulselli, and Sarah Williams. Mobile landscapes: Using location data from cell phones for urban analysis. Environment and Planning B: Planning and Design, 33(5):727--748, oct 2006. [ bib | DOI | http ]
[235] Carlo Ratti, Dennis Frenchman, Riccardo Maria Pulselli, and Sarah Williams. Mobile landscapes: Using location data from cell phones for urban analysis, oct 2006. [ bib | DOI | http ]
[236] Carlo Ratti, Stanislav Sobolevsky, Francesco Calabrese, Clio Andris, Jonathan Reades, Mauro Martino, Rob Claxton, and Steven H. Strogatz. Redrawing the map of Great Britain from a network of human interactions. PLoS ONE, 5(12):e14248, dec 2010. [ bib | DOI | http ]
[237] Philip J. Reed, Muhammad Raza Khan, and Joshua Blumenstock. Observing gender dynamics and disparities with mobile phone metadata. In Proc. of the Eighth International Conference on Information and Communication Technologies and Development - ICTD '16, pages 1--4, New York, New York, USA, 2016. ACM Press. [ bib | DOI | http ]
[238] Patrizia Ribino, Antonio Oliveri, Giuseppe Lo Re, and Salvatore Gaglio. A Knowledge Management System Based on Ontologies. IEEE Computer Society, 2009. [ bib | DOI | http ]
[239] Fabio Ricciato, Peter Widhalm, Francesco Pantisano, and Massimo Craglia. Beyond the “single-operator, CDR-only” paradigm: An interoperable framework for mobile phone network data analyses and population density estimation. Pervasive and Mobile Computing, 35:65--82, feb 2017. [ bib | DOI | http ]
[240] Manuel Gomez Rodriguez, Jure Leskovec, David Balduzzi, and Bernhard Schölkopf. Uncovering the structure and temporal dynamics of information propagation. Network Science, 2(1):26--65, apr 2014. [ bib | DOI | http ]
[241] Geoff Rose. Mobile phones as traffic probes: Practices, prospects and issues. Transport Reviews, 26(3):275--291, may 2006. [ bib | DOI | http ]
[242] Petri Rouvinen. Diffusion of digital mobile telephony: Are developing countries different? Telecommunications Policy, 30(1):46--63, feb 2006. [ bib | DOI | http ]
[243] Stefania Rubrichi, Zbigniew Smoreda, and Mirco Musolesi. A comparison of spatial-based targeted disease mitigation strategies using mobile phone data. EPJ Data Science, 7(1), jun 2018. [ bib | DOI | arXiv | http ]
[244] M.J. Salganik. Bit by Bit: Social Research in the Digital Age. Princeton University Press, 2017. [ bib | http ]
[245] I.H. Sarker, M.A. Kabir, A. Colman, and J. Han. Understanding recency-based behavior model for individual Mobile phone users. In UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, pages 916--921, New York, New York, USA, 2017. ACM Press. [ bib | DOI | http ]
[246] Iqbal H. Sarker, Muhammad Ashad Kabir, Alan Colman, and Jun Han. Identifying Recent Behavioral Data Length in Mobile Phone Log. nov 2017. [ bib | arXiv | http ]
[247] Carlos Sarraute, Pablo Blanc, and Javier Burroni. A study of age and gender seen through mobile phone usage patterns in Mexico. Technical Report 1511.06656, arXiv, nov 2014. [ bib | DOI | arXiv | http ]
[248] Carlos Sarraute, Pablo Blanc, and Javier Burroni. A study of age and gender seen through mobile phone usage patterns in Mexico. In Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on, pages 836--843, nov 2014. [ bib | DOI | arXiv | http ]
[249] Carlos Sarraute, Pablo Blanc, and Javier Burroni. A study of age and gender seen through mobile phone usage patterns in Mexico. In Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on, pages 836--843. IEEE, aug 2014. [ bib | DOI | arXiv | http ]
[250] Carlos Sarraute, Jorge Brea, Javier Burroni, Klaus Wehmuth, Artur Ziviani, and J. I. Alvarez-Hamelin. Social Events in a Time-Varying Mobile Phone Graph. arXiv, jun 2017. [ bib | arXiv | http ]
[251] Luca Scherrer, Martin Tomko, Peter Ranacher, and Robert Weibel. Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth. EPJ Data Science, 7(1):19, dec 2018. [ bib | DOI | http ]
[252] Christian M. Schneider, Vitaly Belik, Thomas Couronné, Zbigniew Smoreda, and Marta C. González. Unravelling daily human mobility motifs. Journal of the Royal Society Interface, 10(84):20130246--20130246, may 2013. [ bib | DOI | http ]
[253] Christian M. Schneider, Christian Rudloff, Dietmar Bauer, and Marta C. González. Daily travel behavior. In Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing - UrbComp '13, page 1, New York, New York, USA, 2013. ACM Press. [ bib | DOI | http ]
[254] Guido Schryen and Felix Wex. Risk Reduction in Natural Disaster Management Through Information Systems. In International Journal of Information Systems for Crisis Response and Management, volume 6, pages 38--64. IGI Global, 2014. [ bib | DOI | http ]
[255] P Schumacher and J Morahan-Martin. Gender, internet and computer attitudes and experiences. Computers in Human Behavior, 17, 2001. [ bib ]
[256] Piercesare Secchi, Simone Vantini, and Valeria Vitelli. Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan. Statistical Methods & Applications, 24(2):279--300, jul 2015. [ bib | DOI | http ]
[257] First Section. 2017 3rd IEEE International Conference on Computer and Communications. IEEE, 2017. [ bib ]
[258] Yoshihide Sekimoto, Akihito Sudo, Takehiro Kashiyama, Toshikazu Seto, Hideki Hayashi, Akinori Asahara, Hiroki Ishizuka, and Satoshi Nishiyama. Real-time people movement estimation in large disasters from several kinds of mobile phone data. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct - UbiComp '16, pages 1426--1434, New York, New York, USA, 2016. ACM Press. [ bib | DOI | http ]
[259] Mukund Seshadri, Sridhar Machiraju, Ashwin Sridharan, Jean Bolot, Christos Faloutsos, and Jure Leskove. Mobile call graphs. In Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD 08, page 596, New York, New York, USA, 2008. ACM Press. [ bib | DOI | http ]
[260] Cristian Alejandro Silva Lovera. Urban sprawl and infrastructural lands: Revamping internal spaces in Santiago de Chile. Geoforum, 67:36--40, dec 2015. [ bib | DOI | http ]
[261] David W. Sims, Emily J. Southall, Nicolas E. Humphries, Graeme C. Hays, Corey J.A. Bradshaw, Jonathan W. Pitchford, Alex James, Mohammed Z. Ahmed, Andrew S. Brierley, Mark A. Hindell, David Morritt, Michael K. Musyl, David Righton, Emily L.C. Shepard, Victoria J. Wearmouth, Rory P. Wilson, Matthew J. Witt, and Julian D. Metcalfe. Scaling laws of marine predator search behaviour. Nature, 451(7182):1098--1102, feb 2008. [ bib | DOI | arXiv | http ]
[262] Chris Smith-Clarke and Licia Capra. Beyond the Baseline. In Proceedings of the 25th International Conference on World Wide Web - WWW '16, pages 425--434, New York, New York, USA, 2016. ACM Press. [ bib | DOI | http ]
[263] Royal Society, Open Science, and Computer Science. Peer relations with mobile phone data: Best friends and family formation. aug 2017. [ bib | arXiv | http ]
[264] Chaoming Song, Tal Koren, Pu Wang, and Albert László Barabási. Modelling the scaling properties of human mobility. Nature Physics, 6(10):818--823, oct 2010. [ bib | DOI | arXiv | http ]
[265] Chaoming Song, Zehui Qu, Nicholas Blumm, and Albert László Barabási. Limits of predictability in human mobility. Science, 327(5968):1018--1021, feb 2010. [ bib | DOI | arXiv | http ]
[266] Victor Soto, Vanessa Frias-Martinez, Jesus Virseda, and Enrique Frias-Martinez. Prediction of socioeconomic levels using cell phone records. In Lecture Notes in Computer Science, volume 6787 LNCS, pages 377--388. Springer, 2011. [ bib | DOI | http ]
[267] John Steenbruggen, Emmanouil Tranos, and Peter Nijkamp. Data from mobile phone operators: A tool for smarter cities? Telecommunications Policy, 39(3-4):335--346, may 2015. [ bib | DOI | http ]
[268] Norbayah Mohd Suki and Norazah Mohd Suki. Mobile phone usage for m-learning: Comparing heavy and light mobile phone users. Campus-Wide Information Systems, 24(5):355--365, nov 2007. [ bib | DOI | http ]
[269] Patrizia Sulis, Ed Manley, Chen Zhong, and Michael Batty. Using mobility data as proxy for measuring urban vitality. Journal of Spatial Information Science, 2018(16):137--162, jun 2018. [ bib | DOI | http ]
[270] Pål Sundsøy. Big Data for Social Sciences: Measuring patterns of human behavior through large-scale mobile phone data. arXiv, page 166, feb 2017. [ bib | arXiv | http ]
[271] Pål Sundsøy, Johannes Bjelland, Bjørn-Atle Reme, Eaman Jahani, Erik Wetter, and Linus Bengtsson. Estimating individual employment status using mobile phone network data. arXiv, pages 1--6, dec 2016. [ bib | arXiv | http ]
[272] G Szabo and A L Barabasi. Network effects in service usage. Arxiv preprint physics0611177, 22:12, nov 2006. [ bib | arXiv | http ]
[273] Cecilia Tacoli. Urbanization, gender and urban poverty: paid work and unpaid carework in the city. Number March. 2012. [ bib | http ]
[274] Linnet Taylor and Ralph Schroeder. Is bigger better? The emergence of big data as a tool for international development policy. GeoJournal, 80(4):503--518, aug 2015. [ bib | DOI | http ]
[275] Yasuaki Teshirogi, Jun Sawamoto, Norihisa Segawa, and Eiji Sugino. A proposal of tsunami warning system using area mail disaster information service on mobile phones. In Proceedings - International Conference on Advanced Information Networking and Applications, AINA, pages 890--895. IEEE, may 2009. [ bib | DOI | http ]
[276] O F The and International Interdisciplinary. Conference proceedings. 2016. [ bib | DOI ]
[277] Christian Thiemann, Fabian Theis, Daniel Grady, Rafael Brune, and Dirk Brockmann. The structure of borders in a small world. PLoS ONE, 5(11):e15422, nov 2010. [ bib | DOI | arXiv | http ]
[278] Eduardo Thomson. Chile's Mobile War Heats Up as Incumbents Strike Back at Newer Rivals - Bloomberg, 2018. [ bib | http ]
[279] Jameson L. Toole, Serdar Colak, Bradley Sturt, Lauren P. Alexander, Alexandre Evsukoff, and Marta C. González. The path most traveled: Travel demand estimation using big data resources. Transportation Research Part C: Emerging Technologies, 58:162--177, sep 2015. [ bib | DOI | arXiv | http ]
[280] Jameson L. Toole, Carlos Herrera-Yaqüe, Christian M. Schneider, and Marta C. González. Coupling human mobility and social ties. Journal of the Royal Society Interface, 12(105):20141128--20141128, feb 2015. [ bib | DOI | http ]
[281] Jameson L. Toole, Yu Ru Lin, Erich Muehlegger, Daniel Shoag, Marta C. González, and David Lazer. Tracking employment shocks using mobile phone data. Journal of the Royal Society Interface, 12(107), may 2015. [ bib | DOI | arXiv | http ]
[282] Jameson L. Toole, Michael Ulm, Dietmar Bauer, and Marta C. Gonzalez. Inferring land use from mobile phone activity. Technical Report 1207.1115, arXiv, jul 2012. [ bib | DOI | arXiv | http ]
[283] Jameson L. Toole, Michael Ulm, Dietmar Bauer, and Marta C. Gonzalez. Inferring land use from mobile phone activity. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing - UrbComp '12, page 1, New York, New York, USA, 2012. ACM Press. [ bib | DOI | arXiv | http ]
[284] Jameson L. Toole, Michael Ulm, Dietmar Bauer, and Marta C. Gonzalez. Inferring land use from mobile phone activity. In Proceedings of the ACM SIGKDD International Workshop on Urban Computing - UrbComp '12, page 1, New York, New York, USA, 2012. ACM Press. [ bib | DOI | arXiv | http ]
[285] Davide Tosi. Cell phone big data to compute mobility scenarios for future smart cities. International Journal of Data Science and Analytics, 4(4):265--284, dec 2017. [ bib | DOI | http ]
[286] Martin Treiber, Arne Kesting, and Dirk Helbing. Three-phase traffic theory and two-phase models with a fundamental diagram in the light of empirical stylized facts. Transportation Research Part B: Methodological, 44(8-9):983--1000, sep 2010. [ bib | DOI | arXiv | http ]
[287] Ionut Trestian, Supranamaya Ranjan, Aleksandar Kuzmanovic, and Antonio Nucci. Measuring serendipity. In Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference - IMC '09, page 267, New York, New York, USA, 2009. ACM Press. [ bib | DOI | http ]
[288] Geert Vanderhulst, Afra Mashhadi, Marzieh Dashti, and Fahim Kawsar. Detecting human encounters from WiFi radio signals. In Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia - MUM '15, volume 30-Novembe, pages 97--108, New York, New York, USA, 2015. ACM Press. [ bib | DOI | http ]
[289] E. Vasconcellos. Análisis de la movilidad urbana. Espacio, medio ambiente y equidad (Analysis of urban mobility. Space, environment and equality). CAF, page 204, 2010. [ bib | http ]
[290] Marcos R. Vieira, Petko Bakalov, and Vassilis J. Tsotras. On-line discovery of flock patterns in spatio-temporal data. In Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS '09, page 286, New York, New York, USA, 2009. ACM Press. [ bib | DOI | http ]
[291] Marcos R Vieira, Petko Bakalov, and Vassilis J Tsotras. Querying trajectories using flexible patterns. In Proceedings of the 13th International Conference on Extending Database Technology - EDBT '10, page 406, New York, New York, USA, 2010. ACM Press. [ bib | DOI | http ]
[292] Marcos R. Vieira, Petko Bakalov, and Vassilis J. Tsotras. FlexTrack: A system for querying flexible patterns in trajectory databases. In Lecture Notes in Computer Science, volume 6849 LNCS, pages 475--480. 2011. [ bib | DOI | http ]
[293] Marcos R. Vieira, Enrique Frías-Martínez, Petko Bakalov, Vanessa Frías-Martínez, and Vassilis J. Tsotras. Querying spatio-temporal patterns in mobile phone-call databases. In Proceedings - IEEE International Conference on Mobile Data Management, pages 239--248. IEEE, 2010. [ bib | DOI | http ]
[294] Marcos R. Vieira, Vanessa Frías-Martínez, Nuria Oliver, and Enrique Frías-Martínez. Characterizing dense urban areas from mobile phone-call data: Discovery and social dynamics. In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust, pages 241--248. IEEE, aug 2010. [ bib | DOI | http ]
[295] Shoko Wakamiya, Ryong Lee, and Kazutoshi Sumiya. Urban area characterization based on semantics of crowd activities in Twitter. In LNCS, volume 6631, pages 108--123. Springer, 2011. [ bib | DOI | http ]
[296] Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, and Albert-Laszlo Barabasi. Human mobility, social ties, and link prediction. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '11, page 1100, New York, New York, USA, 2011. ACM Press. [ bib | DOI | http ]
[297] De Wang, Weijing Zhong, Zhenxuan Yin, Dongcan Xie, and Xiao Luo. Spatio-temporal Dynamics of Population in Shanghai: A Case Study Based on Cell Phone Signaling Data. pages 239--254. 2018. [ bib | DOI | http ]
[298] Feilong Wang and Cynthia Chen. On data processing required to derive mobility patterns from passively-generated mobile phone data. Transportation Research Part C: Emerging Technologies, 87:58--74, feb 2018. [ bib | DOI | http ]
[299] Han Wang, Damien Fay, Kenneth N. Brown, and Liam Kilmartin. Modelling revenue generation in a dynamically priced mobile telephony service. Telecommunication Systems, 62(4):711--734, aug 2016. [ bib | DOI | http ]
[300] Hui Wang, Jiajin Huang, Erzhong Zhou, Zhisheng Huang, and Ning Zhong. Cognition-inspired route evaluation using mobile phone data. Natural Computing, 14(4):637--648, dec 2015. [ bib | DOI | http ]
[301] Pu Wang, Marta C. González, César A. Hidalgo, and Albert László Barabasi. Understanding the Spreading Patterns of Mobile Phone Viruses. Science, 324(5930):1071--1076, may 2009. [ bib | DOI | arXiv | http ]
[302] Pu Wang, Timothy Hunter, Alexandre M. Bayen, Katja Schechtner, and Marta C. González. Understanding road usage patterns in urban areas. Scientific Reports, 2(1):1001, dec 2012. [ bib | DOI | arXiv | http ]
[303] Rui Wang. The stops made by commuters: Evidence from the 2009 US National Household Travel Survey. Journal of Transport Geography, 47:109--118, jul 2015. [ bib | DOI | http ]
[304] Rui Wang, Gabriella Harari, Peilin Hao, Xia Zhou, and Andrew T. Campbell. SmartGPA. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '15, pages 295--306, New York, New York, USA, 2015. ACM Press. [ bib | DOI | http ]
[305] Yi-Chia Wang, Moira Burke, and Robert E. Kraut. Gender, topic, and audience response. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13, page 31, New York, New York, USA, 2013. ACM Press. [ bib | DOI | http ]
[306] Yi-Chia Wang, Moira Burke, and Robert E. Kraut. Gender, topic, and audience response: An analysis of user-generated content on facebook. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '13, pages 31--34, New York, NY, USA, 2013. ACM. [ bib | DOI | http ]
[307] Ling-Yin Wei, Yu Zheng, and Wen-Chih Peng. Constructing popular routes from uncertain trajectories. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12, page 195, New York, New York, USA, 2012. ACM Press. [ bib | DOI | http ]
[308] Galen Weld, Trevor Perrier, Jenny Aker, Joshua E. Blumenstock, Brian Dillon, Adalbertus Kamanzi, Editha Kokushubira, Jennifer Webster, and Richard J. Anderson. eKichabi. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, pages 1--12, New York, New York, USA, 2018. ACM Press. [ bib | DOI | http ]
[309] Amy Wesolowski, Caroline O. Buckee, Linus Bengtsson, Erik Wetter, Xin Lu, and Andrew J. Tatem. Commentary: Containing the Ebola Outbreak - the Potential and Challenge of Mobile Network Data. PLoS Currents, 6, sep 2014. [ bib | DOI | http ]
[310] Amy Wesolowski, Caroline O. Buckee, Deepa K. Pindolia, Nathan Eagle, David L. Smith, Andres J. Garcia, and Andrew J. Tatem. The Use of Census Migration Data to Approximate Human Movement Patterns across Temporal Scales. PLoS ONE, 8(1):e52971, jan 2013. [ bib | DOI | http ]
[311] J White and J Quick. Using cellular phone location data for origin destination matrix estimation. Technical report, TRL, UK, 2000. [ bib ]
[312] J. White, J. Quick, and P. Philippou. The use of mobile phone location data for traffic information. In 12th IEEE Int. Conf. on Road Transport Information and Control, pages 321--325. IEE, 2004. [ bib | DOI | http ]
[313] Jonna White and Ivan Wells. Extracting Origin Destination Information from mobile phone data. Road Transport Information and Control, 486(March):19--21, 2002. [ bib | DOI | http ]
[314] Peter Widhalm, Yingxiang Yang, Michael Ulm, Shounak Athavale, and Marta C. González. Discovering urban activity patterns in cell phone data. Transportation, 42(4):597--623, jul 2015. [ bib | DOI | http ]
[315] Nathalie E. Williams, Timothy A. Thomas, Matthew Dunbar, Nathan Eagle, and Adrian Dobra. Measures of human mobility using mobile phone records enhanced with GIS data. PLoS ONE, 10(7), aug 2015. [ bib | DOI | arXiv | http ]
[316] Tao Wu, Yujie Fan, Zhiling Hong, and Lifei Chen. Subspace Clustering on Mobile Data for Discovering Circle of Friends. pages 703--711. 2015. [ bib | DOI | http ]
[317] Xiuchao Wu, Kenneth N. Brown, and Cormac J. Sreenan. Analysis of smartphone user mobility traces for opportunistic data collection in wireless sensor networks. Pervasive and Mobile Computing, 9(6):881--891, dec 2013. [ bib | DOI | http ]
[318] Susan Wyche, Nightingale Simiyu, and Martha E. Othieno. Mobile Phones as Amplifiers of Social Inequality among Rural Kenyan Women. ACM Transactions on Computer-Human Interaction, 23(3):1--19, jun 2016. [ bib | DOI | http ]
[319] Feng Xiang, Lai Tu, and Benxiong Huang. Inferring barriers of urban city using mobile phone record. In Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013, pages 850--855. IEEE, aug 2013. [ bib | DOI | http ]
[320] Haoyi Xiong, Daqing Zhang, Daqiang Zhang, Vincent Gauthier, Kun Yang, and Monique Becker. MPaaS: Mobility prediction as a service in telecom cloud. Information Systems Frontiers, 16(1):59--75, mar 2014. [ bib | DOI | http ]
[321] Yang Xu, Shih-Lung Shaw, Feng Lu, Jie Chen, and Qingquan Li. Uncovering the Relationships Between Phone Communication Activities and Spatiotemporal Distribution of Mobile Phone Users. pages 41--65. 2018. [ bib | DOI | http ]
[322] Mingqiang Xue, Huayu Wu, Wei Chen, and Gin Howe Goh. Identifying tourists from public transport commuters. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '14, pages 1779--1788, New York, New York, USA, 2014. ACM Press. [ bib | DOI | http ]
[323] Chao Yang, Yuliang Zhang, Satish V. Ukkusuri, and Rongrong Zhu. Mobility Pattern Identification Based on Mobile Phone Data. pages 217--232. 2019. [ bib | DOI | http ]
[324] Gürol Yokuş and Tuğba Yanpar Yelken. The Adoption of Mobile Devices as Digital Tools for Seamless Learning. pages 297--324. [ bib | DOI | http ]
[325] Yuji Yoshimura, Stanislav Sobolevsky, Juan N. Bautista Hobin, Carlo Ratti, and Josep Blat. Urban association rules: Uncovering linked trips for shopping behavior. Environment and Planning B: Urban Analytics and City Science, 45(2):367--385, 2018. [ bib | DOI ]
[326] Jing Yuan, Yu Zheng, and Xing Xie. Discovering regions of different functions in a city using human mobility and POIs. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12, page 186, New York, New York, USA, 2012. ACM Press. [ bib | DOI | arXiv | http ]
[327] Yihong Yuan, Martin Raubal, and Yu Liu. Correlating mobile phone usage and travel behavior - A case study of Harbin, China. Computers, Environment and Urban Systems, 36(2):118--130, mar 2012. [ bib | DOI | http ]
[328] Stephanie Zacharek, Elian Dockterman, and Haley Sweetland Edwards. TIME Person of the Year 2017: The Silence Breakers, 2017. [ bib | http ]
[329] Guilherme Augusto Zagatti, Miguel Gonzalez, Paolo Avner, Nancy Lozano-Gracia, Christopher J. Brooks, Maximilian Albert, Jonathan Gray, Sarah Elizabeth Antos, Priya Burci, Elisabeth zu Erbach-Schoenberg, Andrew J. Tatem, Erik Wetter, and Linus Bengtsson. A trip to work: Estimation of origin and destination of commuting patterns in the main metropolitan regions of Haiti using CDR. Development Engineering, 3:133--165, 2018. [ bib | DOI | http ]
[330] Hui Zang and Jean Bolot. Mining call and mobility data to improve paging efficiency in cellular networks. In Proceedings of the 13th annual ACM international conference on Mobile computing and networking - MobiCom '07, page 123, New York, New York, USA, 2007. ACM Press. [ bib | DOI | http ]
[331] P. Christopher Zegras, Menghan Li, Talip Kilic, Nancy Lozano-Gracia, Ajinkya Ghorpade, Marco Tiberti, Ana I. Aguilera, and Fang Zhao. Assessing the representativeness of a smartphone-based household travel survey in Dar es Salaam, Tanzania. Transportation, 45(2):335--363, mar 2018. [ bib | DOI | http ]
[332] Faride Zerán, editor. Mayo feminista. La rebelión contra el patriarcado (Feminist May: the rebellion against patriarchy). LOM Ediciones, 2018. [ bib ]
[333] Daqiang Zhang, Athanasios V. Vasilakos, and Haoyi Xiong. Predicting location using mobile phone calls. ACM SIGCOMM Computer Communication Review, 42(4):295, sep 2012. [ bib | DOI | http ]
[334] Ziliang Zhao, Shih Lung Shaw, Yang Xu, Feng Lu, Jie Chen, and Ling Yin. Understanding the bias of call detail records in human mobility research. International Journal of Geographical Information Science, 30(9):1738--1762, sep 2016. [ bib | DOI | http ]
[335] Vincent W. Zheng, Yu Zheng, Xing Xie, and Qiang Yang. Collaborative location and activity recommendations with GPS history data. In Proceedings of the 19th international conference on World wide web - WWW '10, page 1029, New York, New York, USA, 2010. ACM Press. [ bib | DOI | http ]
[336] Yu Zheng. Trajectory Data Mining. ACM Transactions on Intelligent Systems and Technology, 6(3):1--41, may 2015. [ bib | DOI | http ]
[337] Yu Zheng, Licia Capra, Ouri Wolfson, and Hai Yang. Urban Computing. ACM Transactions on Intelligent Systems and Technology, 5(3):1--55, sep 2014. [ bib | DOI | http ]
[338] Erheng Zhong, Ben Tan, Kaixiang Mo, and Qiang Yang. User demographics prediction based on mobile data. Pervasive and Mobile Computing, 9(6):823--837, dec 2013. [ bib | DOI | http ]

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