NextCell: Predicting Location Using Social Interplay from Cell Phone Traces

IEEE Transactions on Computers

Volumn 64, Issue 2, 2015, Pages 452-463

  Zhang, Daqiang ^a   Zhang, Daqing ^b   Xiong, Haoyi ^b   Yang, Laurence T ^c   Gauthier, Vincent ^b  

^a TONGJI UNIVERSITY   (China)

^b INSTITUT TELECOM   (France)

^c HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

cell towers; Location prediction; social interplay; social networks

Indexed keywords

ALGORITHMS; FORECASTING; MOBILE PHONES; SOCIAL NETWORKING (ONLINE); TOWERS;

ACTIVITY INFORMATIONS; CELLULAR NETWORK; GPS COORDINATES; LOCATION PREDICTION; PRECISION AND RECALL; SOCIAL INTERPLAYS; STATE-OF-THE-ART SCHEME; STRONG CORRELATION;

LOCATION;

EID: 84975229365     PISSN: 00189340     EISSN: None     Source Type: Journal    
DOI: 10.1109/TC.2013.223     Document Type: Article

References (22)

1. N. Eagle and A. Pentland, "Reality mining: Sensing complex social systems," Pers. Ubiquitous Comput., vol. 10, pp. 255-268, 2006.
2. N. Eagle, "Behavioral inference across cultures: Using telephones as a cultural lens," IEEE Intell. Syst., vol. 23, no. 4, pp. 62-64, Jul./Aug. 2008.
3. N. Eagle, A. S. Pentlandb, and D. Lazerc, "Inferring social network structure using mobile phone data," Proc. Nat. Acad. Sci., vol. 106, no. 36, pp. 15274-15278, 2009.
4. N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, R. L. Moses, and N. S. Correal, "Locating the nodes: Cooperative localization in wireless sensor networks," IEEE Signal Process. Mag., vol. 22, no. 4, pp. 54-69, Jul. 2005.
5. L. Backstrom, E. Sun, and C. Marlow, "Evaluating mobility models for temporal prediction with high-granularity mobility data," in Proc. 19th IEEE Int. Conf. Pervasive Comput. Commun. (PERCOM), 2012, pp. 206-212.
6. A. Monreale, F. Pinelli, R. Trasarti, and F. Giannotti, "WhereNext:A location predictor on trajectory pattern mining," in Proc. 15th ACM Special Interest Group Knowledge Discovery Data Mining (SIGKDD), 2009, pp. 637-646.
7. S. Scellato, M. Musolesi, C. Mascolo, V. Latora, and A. T. Campbell, "Nextplace: A spatio-temporal prediction framework for pervasive systems," in Proc. 9th Int. Conf. Pervasive Comput., 2011, pp. 152-169.
8. C. Boldrini and A. Pass, "Modelling spatial and temporal properties of human mobility driven by users' social relationships," Comput. Commun., vol. 33, pp. 1056-1074, 2010.
9. W. J. Hsu, T. Spyropoulos, K. Psounis, and A. Helmy, "Modeling time-variant user mobility in wireless mobile networks," in Proc. 27th IEEE Int. Conf. Comput. Commun. (INFOCOM), 2007, pp. 758-766.
10. C. Song, Z. Qu, N. Blumm, and A.-L. Barabási, "Limits of predictability in human mobility," Science, vol. 327, no. 5968, pp. 1018-1021, 2010.
11. T. Hossmann, T. Spyr, and F. Legendre, "Putting contacts into context: Mobility modeling beyond inter-contact time," in Proc. 12th ACM Int. Symp. Mobile Ad Hoc Netw. Comput. (MobiHoc), 2011, pp. 199-208.
12. E. Cho, S. A. Myers, and J. Leskovec, "Friendship and mobility: User movement in location-based social networks," in Proc. 17th ACM Special Interest Group Knowledge Discovery Data Mining (SIGKDD), 2011, pp. 1082-1090.
13. L. Backstrom, E. Sun, and C. Marlow, "Find me if you can: Improving geographical prediction with social and spatial proximity," in Proc. 19th Int. Conf. World Wide Web (WWW), 2010, pp. 61-70.
14. S. Scellato, A. Noulas, and C. Mascolo, "Exploiting place features in link prediction on location-based social networks," in Proc. 17th ACM Special Interest Group Knowledge Discovery Data Mining (SIGKDD), C. Apté, J. Ghosh, and P. Smyth, Eds., Aug. 2011, pp. 1046-1054.
15. L. Song, D. Kotz, R. Jain, and X. He, "Evaluating next-cell predictors with extensive wi-fi mobility data," IEEE Trans. Mobile Comput., vol. 5, no. 12, pp. 1633-1649, Dec. 2006.
16. Z. Li, B. Ding, J. Han, R. Kays, and P. Nye, "Mining periodic behaviors for moving objects," in Proc. 16th ACM Special Interest Group Knowledge Discovery Data Mining (SIGKDD), 2010, pp. 1099-1108.
17. M. Musolesi, S. Hailes, and C. Mascolo, "An ad hoc mobility model founded on social network theory," in Proc. 7th ACM Int. Symp. Model. Anal. Simul. Wireless Mobile Syst. (MSWiM'04), 2004, pp. 20-24.
18. F. Calabrese, Z. Smoreda, V. D. Blondel, and C. Ratti, "Interplay between telecommunications and face-to-face interactions: A study using mobile phone data," PLoSONE, vol. 6, no. 7, pp. 114-119, 2011.
19. Z. Wang, L. Sun, C. Wu, and S. Yang, "Guiding internet-scale video service deployment using microblog-based prediction," in Proc. IEEE Int. Conf. Comput. Commun. (INFOCOM), A. G. Greenberg and K. Sohraby, Eds., 2012, pp. 2901-2905.
20. B. Zhang, K. Xing, X. Cheng, L. Huang, and R. Bie, "Traffic clustering and online traffic prediction in vehicle networks: A social influence perspective," in Proc. IEEE Int. Conf. Comput. Commun. (INFOCOM), 2012, pp. 495-503.
21. W. Gao, Q. Li, B. Zhao, and G. Cao, "Multicasting in delay tolerant networks: A social network perspective," in Proc. 10th ACM Int. Symp. Mobile Ad Hoc Netw. Comput., 2009, pp. 299-308.
22. A. Holroyd, R. Lyons, and T. Soo, "Poisson splitting by factors," Arxiv preprint, arXiv:0908.3409, 2009.