| [1] Regan N R, Carlson J, Rosenberger III P J. Factors affecting group-oriented travel intention to major events. Journal of Travel & Tourism Marking, 2012, 29(2):185-204.[2] So S I, Lehto X Y. The situation influence of travel group composition:Contrasting Japanese family travelers with other travel parties. Journal of Travel & Tourism Marketing, 2007, 20(3/4):79-91.[3] Pike S, Ryan C. Destination positioning analysis through a comparison of cognitive, affective, conative perceptions. Journal of Travel Research, 2004, 42(4):333-342.[4] Fortunato S. Community detection in graphs. Physics Reports, 2010, 486(3/4/5):75-174.[5] Xiang R, Neville J. Collective inference for network data with copula latent Markov networks. In Proc. the 6th ACM International Conference on Web Search and Data Mining, Feb. 2013, pp.647-656.[6] Lafferty J D, McCallum A, Pereira F C N. Conditional random fields:Probabilistic models for segmenting and labeling sequence data. In Proc. the 18th International Conference on Machine Learning, June 28-July 1, 2001, pp.282- 289.[7] Lehto X Y, Lin Y C, Chen Y, Choi S. Family vacation activities and family cohesion. Journal of Travel & Tourism Marketing, 2012, 29(8):835-850.[8] Prayag G. Senior travelers' motivations and future behavioral intentions:THE CASE OF NICE. Journal of Travel & Tourism Marketing, 2012, 29(7):665-681.[9] Barlés-Arizón M J, Fraj-Andrés E, Martínez-Salinas E. Family vacation decision making:The role of woman. Journal of Travel & Tourism Marketing, 2013, 30(8):873-890.[10] Tam M L, Lam W H K, Lo H P. Modeling air passenger travel behavior on airport ground access mode choices. Transportmetrica, 2008, 4(2):135-153.[11] Mcauley J J, Leskovec J. Learning to discover social circles in ego networks. In Proc. the 26th Annual Conference on Neural Information Processing Systems, Dec. 2012, pp.548- 556.[12] Zhao B, Sen P, Getoor L. Entity and relationship labeling in affiliation networks. In Proc. the 23nd ICML Workshop on Statistical Network Analysis:Models, Issues, and New Directions, June 2006.[13] Diehl C P, Namata G, Getoor L. Relationship identification for social network discovery. In Proc. the 22nd AAAI Conference on Artificial Intelligence, July 2007, pp.546-552.[14] Eagle N, Pentland A S, Lazer D. Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences, 2009, 106(36):15274- 15278.[15] Wang C, Han J, Jia Y, Tang J, Zhang D, Yu Y, Guo J. Mining advisor-advisee relationships from research publication networks. In Proc. the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 2010, pp.203-212.[16] Crandall D J, Backstrom L, Cosley D, Suri S, Huttenlocher D, Kleinberg J. Inferring social ties from geographic coincidences. Proceedings of National Academy of Sciences, 2010, 107(52):22436-22441.[17] Tang W, Zhuang H, Tang J. Learning to infer social ties in large networks. In Proc. the 2011 European Conference on Machine Learning and Knowledge Discovery in Databases, Sept. 2011, pp.381-397.[18] Wan H, Lin Y, Wu Z, Huang H. A community-based pseudolikelihood approach for relationship labeling in social networks. In Proc. the 2011 European Conference on Machine Learning and Knowledge Discovery in Databases, Sept. 2011, pp.491-505.[19] Tang J, Lou T, Kleinberg J. Inferring social ties across heterogeneous networks. In Proc. the 5th ACM International Conference on Web Search and Data Mining, Feb. 2012, pp.743-752.[20] Girvan M, Newman M E J. Community structure in social and biological networks. Proceedings of the National Academy of Sciences, 2002, 99(12):7821-7826.[21] Newman M E J. Detecting community structure in networks. The European Physical Journal B, 2004, 38(2):321- 330.[22] Bollobás B. Random Graphs (2nd edition). Cambridge, UK:Cambridge University Press, 2001.[23] Blondel V D, Guillaume J L, Lambiotte R, Lefebvre E. Fast unfolding of communities in large networks. Journal of Statistical Mechanics:Theory and Experiment, 2008, 2008(10):Article No. 10008.[24] Rosvall M, Bergstrom C T. Map of random walks on complex networks reveal community structure. Proceedings of the National Academy of Sciences, 2008, 105(4):1118-1123.[25] Raghavan U, Albert R, Kumara S. Near linear time algorithm to detect community structures in large-scale networks. Physical Review E, 2007, 76(3):Article No. 036106.[26] Palla G, Derényi I, Farkas I et al. Uncovering the overlapping community structure of complex networks in nature and society. Nature, 2005, 435:814-818.[27] Ahn Y, Bagrow J, Lehmann S. Link communities reveal multiscale complexity in networks. Nature, 2010, 466:761-764.[28] Lancichinetti A, Fortunato S, Kertész J. Detecting the overlapping and hierarchical community structure of complex networks. New Journal of Physics, 2009, 11(3):Article No. 033015.[29] Gregory S. Finding overlapping communities in networks by label propagation. New Journal of Physics, 2010, 12(10):Article No. 103018.[30] Traag V A, Bruggeman J. Community detection in networks with positive and negative links. Physical Review E, 2009, 80(3):Article No. 036115.[31] Reichardt J, Bornholdt S. Statistical mechanics of community detection. Physical Review E, 2006, 74(1):Article No. 016110.[32] Lin Y, Wan H, Jiang R, Wu Z, Jia X. Inferring the travel purposes of passenger groups for better understanding of passengers. IEEE Transactions on Intelligent Transportation System, 2015, 16(1):235-243.[33] Murphy K P,Weiss Y, JordanM I. Loopy belief propagation for approximate inference:An empirical study. In Proc. the 15th Conference on Uncertainty in Artificial Intelligence, July 30-Aug. 1, 1999, pp.467-475.[34] Robert C P, Casella G. Monte Carlo Statistical Methods (2nd edition). New York, NY:Springer, 2004.[35] Wan H, Lin Y, Wu Z, Huang H. Discovering typed communities in mobile social networks. Journal of Computer Science and Technology, 2012, 27(3):480-491. |