[1]BENEVENUTO F, RODRIGUES T, CHA M, et al. Characterizing user behavior in online social networks [C]// Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement. New York: ACM, 2009: 49-62.
[2]SCELLATO S, MASCOLO C. Measuring user activity on an online location-based social network [C]// Proceedings of Third International Workshop on Network Science for Communication Networks. Piscataway: IEEE, 2011: 918-923.
[3]CHENG Z, CAVERLEE J, LEE K, et al. Exploring millions of footprints in location sharing services [C]// ICWSM 11: Fifth International AAAI Conference on Weblogs and Social Media. Barcelona,Spain: AAAI, 2011: 282.
[4]NOULAS A, SCELLATO S, MASCOLO C, et al. An empirical study of geographic user activity patterns in foursquare [C]// ICWSM 11: Fifth International AAAI Conference on Weblogs and Social Media. Barcelona,Spain: AAAI,2011:570-573.
[5]CHO E, MYERS S A, LESKOVEC J. Friendship and mobility: User movement in location-based social networks [C]// Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2011: 1082-1090.
[6]HUNG C-C, CHANG C-W, PENG W-C. Mining trajectory profiles for discovering user communities [C]// Proceedings of the 2009 International Workshop on Location Based Social Networks. New York: ACM, 2009: 1-8.
[7]LI Q, ZHENG Y, XIE X, et al. Mining user similarity based on location history [C]// Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York: ACM, 2008: 1-10.
[8]LEE M-J, CHUNG C-W. A user similarity calculation based on the location for social network services [C]// DASFAA'11: Proceedings of the 16th International Conference on Database Systems for Advanced Applications, LNCS 6587. Berlin: Springer-Verlag, 2011, 1: 38-52.
[9]ESTER M, KRIEGEL H P, SANDER J, et al. A density based algorithm for discovering clusters in large spatial databases with noise [C]// Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining. Portland: AAAI, 1996: 226-231.
[10]LEE R, SUMIYA K. Measuring geographical regularities of crowd behaviors for Twitter-based geo-social event detection [C]// Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks. New York, ACM, 2010:1-10.
[11]TAN P N, STEINBACH M, KUMAR V. Introduction to data mining [M]. Boston: Pearson Addison Wesley, 2006. |