Limits of Predictability in Human Mobility

Cited by (1,004)

Items 301–400 of 1,004

1. Crime Feeds on Legal Activities: Daily Mobility Flows Help to Explain Thieves’ Target Location Choices
   Guangwen Song, Wim Bernasco, Lin Liu, Luzi Xiao, Suhong Zhou, Weiwei Liao · 2019 · Journal of Quantitative Criminology
2. The predictability of consumer visitation patterns
   Coco Krumme, Alejandro Llorente, Manuel Cebrián, Alex Pentland, Esteban Moro · 2013 · Scientific Reports
3. The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective
   Marco De Nadai, Jacopo Staiano, Roberto Larcher, Nicu Sebe, Daniele Quercia, Bruno Lepri · 2016 · arXiv (Cornell University)
4. From seconds to months: an overview of multi-scale dynamics of mobile telephone calls
   Jari Saramäki, Esteban Moro · 2015 · The European Physical Journal B
5. Human mobility in opportunistic networks: Characteristics, models and prediction methods
   Poria Pirozmand, Guowei Wu, Behrouz Jedari, Feng Xia · 2014 · Journal of Network and Computer Applications
6. Detecting Memory and Structure in Human Navigation Patterns Using Markov Chain Models of Varying Order
   Philipp Singer, Denis Helić, Behnam Taraghi, Markus Strohmaier · 2014 · PLoS ONE
7. Inferring Urban Land Use Using Large-Scale Social Media Check-in Data
   Xianyuan Zhan, Satish V. Ukkusuri, Feng Zhu · 2014 · Networks and Spatial Economics
8. Influence of sociodemographic characteristics on human mobility
   Maxime Lenormand, Thomas Louail, Cantu-Ross, Olivia, Picornell, Miguel, Ricardo Herranz, Murillo Arias, Juan, Marc Barthélemy, San Miguel, Maxi, José J. Ramasco · 2016 · HAL
9. Code, Cache and Deliver on the Move: A Novel Caching Paradigm in Hyper-Dense Small-Cell Networks
   Konstantinos Poularakis, Leandros Tassiulas · 2016 · IEEE Transactions on Mobile Computing
10. Mapping Higher-Order Network Flows in Memory and Multilayer Networks with Infomap
    Daniel Edler, Ludvig Bohlin, Martin Rosvall · 2017 · Algorithms
11. A universal distribution law of network detour ratios
    Hai Yang, Jintao Ke, Jieping Ye · 2018 · Transportation Research Part C Emerging Technologies
12. PAS: Prediction-Based Actuation System for City-Scale Ridesharing Vehicular Mobile Crowdsensing
    Xinlei Chen, Susu Xu, Jun Young Han, Haohao Fu, Xidong Pi, Carlee Joe‐Wong, Yong Li, Lin Zhang, Hae Young Noh, Pei Zhang · 2020 · IEEE Internet of Things Journal
13. Modelling urban-scale occupant behaviour, mobility, and energy in buildings: A survey
    Flora Dilys Salim, Bing Dong, Mohamed M. Ouf, Qi Wang, Ilaria Pigliautile, Xuyuan Kang, Tianzhen Hong, Wenbo Wu, Yapan Liu, Shakila Khan Rumi et al. · 2020 · Building and Environment
14. Discovering urban spatial-temporal structure from human activity patterns
    Shan Jiang, Joseph Ferreira, Marta C. González · 2012 · ACM SIGKDD International Workshop on Urban Computing (UrbComp)
15. Augmented Betweenness Centrality for Environmentally Aware Traffic Monitoring in Transportation Networks
    Rami Puzis, Yaniv Altshuler, Yuval Elovici, Shlomo Bekhor, Yoram Shiftan, Alex Pentland · 2012 · Journal of Intelligent Transportation Systems
16. New Approaches to Marine Conservation Through the Scaling Up of Ecological Data
    Graham J. Edgar, Amanda E. Bates, Tomas J. Bird, Alun H. Jones, Stuart Kininmonth, Rick D. Stuart‐Smith, Thomas J. Webb · 2015 · Annual Review of Marine Science
17. NextCell: Predicting Location Using Social Interplay from Cell Phone Traces
    Daqiang Zhang, Daqing Zhang, Haoyi Xiong, Laurence Tianruo Yang, Vincent Gauthier · 2014 · IEEE Transactions on Computers
18. Moving Agent Pedestrians Through Space and Time
    Paul M. Torrens · 2011 · Annals of the Association of American Geographers
19. Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
    Teerayut Horanont, Santi Phithakkitnukoon, Tuck Wah Leong, Yoshihide Sekimoto, Ryosuke Shibasaki · 2013 · PLoS ONE
20. POI Recommendation: A Temporal Matching between POI Popularity and User Regularity
    Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong · 2016 · Proceedings
21. Orderliness predicts academic performance: behavioural analysis on campus lifestyle
    Yi Cao, Jian Gao, Defu Lian, Zhihai Rong, Jiatu Shi, Qing Wang, Yifan Wu, Huaxiu Yao, Tao Zhou · 2018 · Journal of The Royal Society Interface
22. Modeling and probabilistic reasoning of population evacuation during large-scale disaster
    Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Teerayut Horanont, Satoshi Ueyama, Ryosuke Shibasaki · 2013 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
23. Analyzing the distribution of human activity space from mobile phone usage: an individual and urban-oriented study
    Yihong Yuan, Martin Raubal · 2016 · International Journal of Geographical Information Systems
24. TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data
    Wenchao Wu, Jiayi Xu, Haipeng Zeng, Yixian Zheng, Huamin Qu, Bing Ni, Mingxuan Yuan, Lionel Ming-shuan Ni · 2015 · IEEE Transactions on Visualization and Computer Graphics
25. Mapping population and pathogen movements
    Andrew J. Tatem · 2014 · International Health
26. Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis
    Nishant Kishore, Mathew Vinhhoa Kiang, Kenth Engø‐Monsen, Navin Vembar, Andrew Schroeder, Satchit Balsari, Caroline O. Buckee · 2020 · The Lancet Digital Health
27. Gross polluters and vehicle emissions reduction
    Matteo Böhm, Mirco Nanni, Luca Pappalardo · 2022 · Nature Sustainability
28. Measuring similarity of mobile phone user trajectories– a Spatio-temporal Edit Distance method
    Yihong Yuan, Martin Raubal · 2013 · International Journal of Geographical Information Systems
29. The Use of Census Migration Data to Approximate Human Movement Patterns across Temporal Scales
    Amy Wesolowski, Caroline O. Buckee, Deepa K. Pindolia, Nathan Eagle, David L. Smith, Andres J. Garcia, Andrew J. Tatem · 2013 · PLoS ONE
30. Human mobility and time spent at destination: Impact on spatial epidemic spreading
    Chiara Poletto, Michele Tizzoni, Vittoria Colizza · 2013 · Journal of Theoretical Biology
31. DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data
    Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, Depeng Jin · 2019 · International World Wide Web Conference (WWW)
32. Energy and greenhouse gas emission reduction potentials resulting from different commuter electric bicycle adoption scenarios in Switzerland
    Dominik Bucher, René Buffat, Andreas Froemelt, Martin Raubal · 2019 · Renewable and Sustainable Energy Reviews
33. Learning where to offend: Effects of past on future burglary locations
    Wim Bernasco, Shane D. Johnson, Stijn Ruiter · 2015 · Applied Geography
34. Tracking employment shocks using mobile phone data
    Jameson L. Toole, Yu‐Ru Lin, Erich J. Muehlegger, Daniel Shoag, Marta C. González, David M. J. Lazer · 2015 · Journal of The Royal Society Interface
35. How human location-specific contact patterns impact spatial transmission between populations?
    Lin Wang, Zhen Wang, Yan Zhang, Xiang Li · 2013 · Scientific Reports
36. Mining user behaviours
    Daniel Preoțiuc-Pietro, Trevor Cohn · 2013 · ACM Web Science Conference (WebSci)
37. Matheuristic With Machine-Learning-Based Prediction for Software-Defined Mobile Metro-Core Networks
    Rodolfo Alvizu, Sebastian Troìa, Guido Alberto Maier, Achille Pattavina B · 2017 · Journal of Optical Communications and Networking
38. TUBE
    Sangtae Ha, Soumya Sen, Carlee Joe‐Wong, Youngbin Im, Mung Chiang · 2012 · ACM SIGCOMM Computer Communication Review
39. Information flow reveals prediction limits in online social activity
    James P. Bagrow, Xipei Liu, Lewis Mitchell · 2019 · Nature Human Behaviour
40. Spatial variation of self-containment and jobs-housing balance in Shenzhen using cellphone big data
    Xingang Zhou, Anthony G.O. Yeh, Yang Yue · 2018 · Journal of Transport Geography
41. Reconstruction of human movement trajectories from large-scale low-frequency mobile phone data
    Mingxiao Li, Song Gao, Feng Lu, Hengcai Zhang · 2019 · Computers Environment and Urban Systems
42. A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing
    Fengmei Jin, Wen Hua, Matteo Francia, Pingfu Chao, Maria E. Orłowska, Xiaofang Zhou · 2022 · IEEE Transactions on Knowledge and Data Engineering
43. Space-time dynamics of topics in streaming text
    Alexei Pozdnoukhov, Christian Kaiser · 2011 · Workshop on Location-based Social Networks
44. Building occupancy forecasting: A systematical and critical review
    Yuan Jin, Da Yan, Adrian Chong, Bing Dong, Jingjing An · 2021 · Energy and Buildings
45. A complex network analysis of human mobility
    Theus Hossmann, Thrasyvoulos Spyropoulos, Franck Legendre · 2011 · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
46. Ecological metrics and methods for GPS movement data
    Dana P. Seidel, Eric R. Dougherty, Colin J. Carlson, Wayne Marcus Getz · 2018 · International Journal of Geographical Information Systems
47. Spatiotemporal data model for network time geographic analysis in the era of big data
    Bi Yu Chen, Hui Yuan, Qingquan Li, Shih‐Lung Shaw, William H. K. Lam, Xiaoling Chen · 2015 · International Journal of Geographical Information Systems
48. A Mobility Analytical Framework for Big Mobile Data in Densely Populated Area
    Yuanyuan Qiao, Yihang Cheng, Jie Yang, Jiajia Liu, Nei Kato · 2016 · IEEE Transactions on Vehicular Technology
49. A statistical approach to participant selection in location-based social networks for offline event marketing
    Yuxin Liu, Anfeng Liu, Xiao Liu, Xiaodi Huang · 2018 · Information Sciences
50. Inferring human mobility using communication patterns
    Vasyl Palchykov, Marija Mitrović Dankulov, Hang-Hyun Jo, Jari Saramäki, Raj Kumar Pan · 2014 · Scientific Reports
51. Predictability of individuals' mobility with high-resolution positioning data
    Lin, Miao, Hsu, Wen-Jing, Lee, Zhuo Qi · 2012 · Proceedings of the 2012 ACM Conference on Ubiquitous Computing
52. MAGA: A Mobility-Aware Computation Offloading Decision for Distributed Mobile Cloud Computing
    Yan Shi, Shanzhi Chen, Xiang Hua Xu · 2017 · IEEE Internet of Things Journal
53. Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data
    Bi Yu Chen, Yafei Wang, Donggen Wang, Qingquan Li, William H. K. Lam, Shih‐Lung Shaw · 2018 · Annals of the American Association of Geographers
54. A comparative analysis of intra-city human mobility by taxi
    Wenjun Wang, Lin Pan, Ning Yuan, Sen Zhang, Dong Liu · 2014 · Physica A Statistical Mechanics and its Applications
55. The Strength of Friendship Ties in Proximity Sensor Data
    Vedran Sekara, Sune Lehmann · 2014 · PLoS ONE
56. Putting contacts into context
    Theus Hossmann, Thrasyvoulos Spyropoulos, Franck Legendre · 2011 · ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
57. Mobile Big Data: The Fuel for Data-Driven Wireless
    Xiang Cheng, Luoyang Fang, Liuqing Yang, Shuguang Robert Cui · 2017 · IEEE Internet of Things Journal
58. Assessing the interplay between human mobility and mosquito borne diseases in urban environments
    Emanuele Massaro, Dániel Kondor, Carlo Ratti · 2019 · Scientific Reports
59. Social Event Detection in Massive Mobile Phone Data Using Probabilistic Location Inference
    Vincent Traag, Arnaud Browet, Francesco Calabrese, Frédéric Morlot · 2011 · International Conference on Social Computing
60. State of the Art in Agent-Based Modeling of Urban Crime: An Overview
    Elizabeth R. Groff, Shane D. Johnson, Amy Elise Thornton · 2018 · Journal of Quantitative Criminology
61. Living in a pandemic: changes in mobility routines, social activity and adherence to COVID-19 protective measures
    Lorenzo Lucchini, Simone Centellegher, Luca Pappalardo, Riccardo Gallotti, Filippo Privitera, Bruno Lepri, Marco De Nadai · 2021 · Scientific Reports
62. Topology Control for Time-Evolving and Predictable Delay-Tolerant Networks
    Minsu Huang, Siyuan Chen, Ying Na Zhu, Yu Wang · 2012 · IEEE Transactions on Computers
63. Network, degeneracy and bow tie. Integrating paradigms and architectures to grasp the complexity of the immune system
    Paolo Tieri, Andrea Grignolio, Alexey A. Zaikin, Michele Mishto, Daniel Remondini, Gastone Castellani, Claudio Franceschi · 2010 · Theoretical Biology and Medical Modelling
64. Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data
    Etienne Thuillier, Laurent Moalic, Sid Lamrous, Alexandre Caminada · 2017 · IEEE Transactions on Mobile Computing
65. Fog orchestration for the Internet of Everything: state-of-the-art and research challenges
    Karima Velásquez, David Pérez Abreu, Marcio Roberto Miranda Assis, Carlos R. Senna, Diego F. Aranha, Luiz F. Bittencourt, Nuno Laranjeiro, Marília Curado, Marco Paulo Amorim Vieira, Edmundo Monteiro et al. · 2018 · Journal of Internet Services and Applications
66. Origin of the scaling law in human mobility: Hierarchy of traffic systems
    Xiao-Pu Han, Qiang Hao, Bing-Hong Wang, Tao Zhou · 2011 · Physical Review E
67. Analyzing and geo-visualizing individual human mobility patterns using mobile call records
    Chaogui Kang, Song Gao, Xing Lin, Yu Xiao, Yihong Yuan, Yu Liu, Xiujun Ma · 2010 · International Conference on Geoinformatics
68. A Scalable Framework for Trajectory Prediction
    Punit Rathore, Dheeraj Kumar, Sutharshan Rajasegarar, Marimuthu Swami Palaniswami, James C. Bezdek · 2019 · IEEE Transactions on Intelligent Transportation Systems
69. Estimation of Regional Economic Development Indicator from Transportation Network Analytics
    Bin Li, Song Gao, Yunlei Liang, Yuhao Kang, Timothy J. Prestby, Yuqi Gao, Runmou Xiao · 2020 · Scientific Reports
70. Patterns, Entropy, and Predictability of Human Mobility and Life
    Shao-Meng Qin, Hannu Verkasalo, Mikael Mohtaschemi, Tuomo Hartonen, Mikko J. Alava · 2012 · PLoS ONE
71. Human Mobility in a Continuum Approach
    Filippo Simini, Amos Maritan, Zoltán Néda · 2013 · PLoS ONE
72. Responsibility of sport and exercise medicine in preventing and managing chronic disease: applying our knowledge and skill is overdue: Figure 1
    Gordon O. Matheson, Martin Klügl, Jiří Dvořák, Lars Engebretsen, Willem H Meeuwisse, Martin Peter Schwellnus, Steven N. Blair, Willem van Mechelen, Wayne Elton Derman, Mats Börjesson et al. · 2011 · British Journal of Sports Medicine
73. Emergence of scaling in human-interest dynamics
    Zhi-Dan Zhao, Zimo Yang, Zi‐Ke Zhang, Tao Zhou, Zi‐Gang Huang, Ying‐Cheng Lai · 2013 · Scientific Reports
74. CEPR
    Defu Lian, Xing Xie, Vincent Wenchen Zheng, Nicholas Jing Yuan, Fuzheng Zhang, Enhong Chen · 2015 · ACM Transactions on Intelligent Systems and Technology
75. Quantifying segregation in an integrated urban physical-social space
    Yang Xu, Alexander Belyi, Paolo Santi, Carlo Ratti · 2019 · Journal of The Royal Society Interface
76. Forecasting influenza activity using machine-learned mobility map
    Srinivasan Venkatramanan, Adam Sadilek, Arindam Fadikar, Christopher L. Barrett, Matthew Biggerstaff, Jiangzhuo Chen, Xerxes Dotiwalla, Paul Eastham, Bryant R. Gipson, Dave Higdon et al. · 2021 · Nature Communications
77. How you move reveals who you are: understanding human behavior by analyzing trajectory data
    Chiara Renso, Miriam Baglioni, José Antônio Fernandes de Macêdo, Roberto Trasarti, Mónica Wachowicz · 2012 · Knowledge and Information Systems
78. Complex Networks: An Engineering View
    LiYing Cui, Soundar R. T. Kumara, Réka Albert · 2010 · IEEE Circuits and Systems Magazine
79. Predictability of Conversation Partners
    Taro Takaguchi, Mitsuhiro Nakamura, Nobuo Sato, Kazuo Yano, Naoki Masuda · 2011 · Physical Review X
80. Energy consumption prediction using people dynamics derived from cellular network data
    Andrey Bogomolov, Bruno Lepri, Roberto Larcher, Fabrizio Antonelli, Fabio Pianesi, Alex Pentland · 2016 · EPJ Data Science
81. Urban phenology: Toward a real-time census of the city using Wi-Fi data
    Constantine E. Kontokosta, Nicholas E. Johnson · 2017 · Computers Environment and Urban Systems
82. Spatiotemporal Sequential Influence Modeling for Location Recommendations
    Jia-Dong Zhang, Chi-Yin Chow · 2015 · ACM Transactions on Intelligent Systems and Technology
83. Proactive Resource Allocation: Harnessing the Diversity and Multicast Gains
    John Tadrous, Atilla Eryılmaz, Hesham El Gamal · 2013 · IEEE Transactions on Information Theory
84. Energy-Efficient Adaptive Video Transmission: Exploiting Rate Predictions in Wireless Networks
    Hatem Abou-Zeid, Hossam S. Hassanein, Stefan Valentin · 2014 · IEEE Transactions on Vehicular Technology
85. Cultural Dimensions in Twitter: Time, Individualism and Power
    Ruth García-Gavilanes, Daniele Quercia, Alejandro Jaimes · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
86. Review of a Parent’s Influence on Pediatric Procedural Distress and Recovery
    Erin A. Brown, Alexandra De Young, Roy Mark Kimble, Justin A. Kenardy · 2018 · Clinical Child and Family Psychology Review
87. Remote Sensing in Environmental Justice Research—A Review
    Matthias Weigand, Michael Wurm, Stefan W. Dech, Hannes Taubenböck · 2019 · ISPRS International Journal of Geo-Information
88. Multiscale identification of urban functional polycentricity for planning implications: An integrated approach using geo-big transport data and complex network modeling
    Lai Wei, Yun Luo, Miao Wang, Yuyang Cai, Shiliang Su, Bozhao Li, Hangyu Ji · 2020 · Habitat International
89. Location and tracking of mobile devices: Überveillance stalks the streets
    Katina Michael, Roger Clarke · 2013 · Computer law & security review
90. Exhausting battery statistics
    Narseo Vallina-Rodríguez, Pan Hui, Jon Crowcroft, Andrew C. Rice · 2010
91. Who, Where, When, and What
    Quan Yuan, Gao Cong, Kaiqi Zhao, Zongyang Ma, Aixin Sun · 2015 · ACM Transactions on Information Systems
92. Ranking Station Importance With Human Mobility Patterns Using Subway Network Datasets
    Feng Xia, Jinzhong Wang, Xiangjie Kong, Da Zhang, Zhibo Wang · 2019 · IEEE Transactions on Intelligent Transportation Systems
93. STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks
    Lixing Yu, Ming Li, Wenqiang Jin, Yifan Guo, Qianlong Wang, Feng Yan, Pan Li · 2020 · IEEE Transactions on Mobile Computing
94. Ranges of human mobility in Los Angeles and New York
    Sibren Isaacman, Richard Becker, Ramón Cáceres, Stephen Kobourov, Margaret Martonosi, James R. Rowland, Alexander Varshavsky · 2011 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
95. Social sensing of urban land use based on analysis of Twitter users’ mobility patterns
    Aiman Soliman, Kiumars Soltani, Junjun Yin, Anand Padmanabhan, Shaowen Wang · 2017 · PLoS ONE
96. Individual mobility prediction review: Data, problem, method and application
    Zhenliang Ma, Pengfei Zhang · 2022 · Multimodal Transportation
97. Predicting human mobility through the assimilation of social media traces into mobility models
    Mariano G. Beiró, André Panisson, Michele Tizzoni, Ciro Cattuto · 2016 · EPJ Data Science
98. Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data
    Bogomolov, Andrey, Bruno Lepri, Jacopo Staiano, Nuria Oliver, Fabio Pianesi, Alex Pentland · 2014 · arXiv (Cornell University)
99. Understanding the travel behaviors and activity patterns of the vulnerable population using smart card data: An activity space-based approach
    Shanqi Zhang, Yu Yang, Feng Zhen, Tashi Lobsang, Zhixuan Li · 2020 · Journal of Transport Geography
100. Habit2vec: Trajectory Semantic Embedding for Living Pattern Recognition in Population
     Hancheng Cao, Fengli Xu, Jagan Sankaranarayanan, Yong Li, Hanan Samet · 2019 · IEEE Transactions on Mobile Computing