The effect of recency to human mobility
暂无分享,去创建一个
[1] T. Geisel,et al. Natural human mobility patterns and spatial spread of infectious diseases , 2011, 1103.6224.
[2] Ryuichi Kitamura,et al. Micro-simulation of daily activity-travel patterns for travel demand forecasting , 2000 .
[3] Daqiang Zhang,et al. NextCell: Predicting Location Using Social Interplay from Cell Phone Traces , 2015, IEEE Transactions on Computers.
[4] Wen-Xu Wang,et al. Universal predictability of mobility patterns in cities , 2013, Journal of The Royal Society Interface.
[5] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[6] Zbigniew Smoreda,et al. Unravelling daily human mobility motifs , 2013, Journal of The Royal Society Interface.
[7] Alex Pentland,et al. The predictability of consumer visitation patterns , 2010, Scientific Reports.
[8] Vito Latora,et al. Understanding mobility in a social petri dish , 2011, Scientific Reports.
[9] Zbigniew Smoreda,et al. Spatiotemporal Data from Mobile Phones for Personal Mobility Assessment , 2013 .
[10] Albert-László Barabási,et al. Universal features of correlated bursty behaviour , 2011, Scientific Reports.
[11] Dino Pedreschi,et al. Human mobility, social ties, and link prediction , 2011, KDD.
[12] Alessandro Vespignani,et al. Phase transitions in contagion processes mediated by recurrent mobility patterns , 2011, Nature physics.
[13] William J. Reed,et al. The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions , 2004, WWW 2001.
[14] Marc-Olivier Killijian,et al. Next place prediction using mobility Markov chains , 2012, MPM '12.
[15] Jure Leskovec,et al. Friendship and mobility: user movement in location-based social networks , 2011, KDD.
[16] Víctor M. Eguíluz,et al. Entangling Mobility and Interactions in Social Media , 2013, PloS one.
[17] Ravi Jain,et al. Evaluating Next-Cell Predictors with Extensive Wi-Fi Mobility Data , 2006, IEEE Transactions on Mobile Computing.
[18] Dietmar Bauer,et al. Inferring land use from mobile phone activity , 2012, UrbComp '12.
[19] Eric J. Johnson,et al. The Construction of Preference: Constructing Preferences From Memory , 2006 .
[20] Patrick Siehndel,et al. Predicting User Locations and Trajectories , 2014, UMAP.
[21] Johanna Zmud,et al. Transport Survey Methods: Best Practice for Decision Making , 2013 .
[22] Stephen J. Hoch,et al. Availability and interference in predictive judgment. , 1984 .
[23] Xing Xie,et al. Mining interesting locations and travel sequences from GPS trajectories , 2009, WWW '09.
[24] Xin Lu,et al. Approaching the Limit of Predictability in Human Mobility , 2013, Scientific Reports.
[25] Stephen J. Hoch,et al. Counterfactual reasoning and accuracy in predicting personal events. , 1985 .
[26] Wei-jen Hsu,et al. On Modeling User Associations in Wireless LAN Traces on University Campuses , 2006, 2006 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.
[27] R. Merton. The Matthew Effect in Science , 1968, Science.
[28] Wei Huang,et al. Predicting human mobility with activity changes , 2015, Int. J. Geogr. Inf. Sci..
[29] John Krumm,et al. Far Out: Predicting Long-Term Human Mobility , 2012, AAAI.
[30] Christian Schneider,et al. Spatiotemporal Patterns of Urban Human Mobility , 2012, Journal of Statistical Physics.
[31] Christos Faloutsos,et al. Mobile call graphs: beyond power-law and lognormal distributions , 2008, KDD.
[32] Alessandro Vespignani,et al. Modeling the Worldwide Spread of Pandemic Influenza: Baseline Case and Containment Interventions , 2007, PLoS medicine.
[33] N. Smirnov. Table for Estimating the Goodness of Fit of Empirical Distributions , 1948 .
[34] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[35] Chaoming Song,et al. Modelling the scaling properties of human mobility , 2010, 1010.0436.
[36] Alexandre M. Bayen,et al. Understanding Road Usage Patterns in Urban Areas , 2012, Scientific Reports.
[37] Maxime Lenormand,et al. Human diffusion and city influence , 2015, Journal of The Royal Society Interface.
[38] Nathan Eagle,et al. Limits of Predictability in Commuting Flows in the Absence of Data for Calibration , 2014, Scientific Reports.
[39] Albert-László Barabási,et al. Understanding individual human mobility patterns , 2008, Nature.
[40] T. Geisel,et al. The scaling laws of human travel , 2006, Nature.
[41] Albert-László Barabási,et al. Limits of Predictability in Human Mobility , 2010, Science.
[42] Derek de Solla Price,et al. A general theory of bibliometric and other cumulative advantage processes , 1976, J. Am. Soc. Inf. Sci..
[43] Xing Xie,et al. Mining correlation between locations using human location history , 2009, GIS.
[44] Marta C. González,et al. Coupling human mobility and social ties , 2015, Journal of The Royal Society Interface.
[45] Padhraic Smyth,et al. Modeling human location data with mixtures of kernel densities , 2014, KDD.
[46] Kimmo Kaski,et al. Circadian pattern and burstiness in mobile phone communication , 2011, 1101.0377.
[47] H. Stanley,et al. Gravity model in the Korean highway , 2007, 0710.1274.
[48] Daniel Krajzewicz,et al. SUMO (Simulation of Urban MObility) - an open-source traffic simulation , 2002 .