| [1] Watts D J, Strogatz S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684):440-442.
[2] Erdos P, Renyi A. On the evolution of random graphs[J]. Publication of the Mathematical Institute of the Hungarian Academy Ofences, 2012, 38(1):17-61.
[3] Barabasi A L, Albert R. Emergence of scaling in random networks[J]. Science, 1999, 286(5439):509-512.
[4] Girvan M, Newman M E J. Community structure in social and biological networks[J]. Proceedings of the National Academy of Sciences of the United States of America, 2002, 99(12):7821-7826.
[5] Fortunato S. Community detection in graphs[J]. Physics Reports, 2010, 486:75-174.
[6] Gergely P, Albert-Laszlo B, Vicsek T. Quantifying social group evolution[J]. Nature, 2007, 446(7136):664-671.
[7] Holme P, Saramaki J. Temporal networks[J]. Physics Reports, 2012, 519(3):97-125.
[8] Kumar R, Novak J, Tomkins A. Structure and evolution of online social networks[J]. Association for Computing Machinery, 2010:337-357.
[9] Yongjin P, Bader J S. How networks change with time[J]. Bioinformatics, 2012, 28(12):40-48.
[10] Aral S, Walker D. Identifying influential and susceptible members of social networks[J]. Science, 2012, 337(6092):337-41.
[11] Valdano E, Ferreri L, Poletto C, Colizza V. Analytical computation of the epidemic threshold on temporal networks[J]. Physical Review X, 2015, 18(3):503-512.
[12] Toyoda M, Kitsuregama M. Extracting evolution of Web communities from a series of Web archives[J]. The Fourteenth ACM Conference on Hypertext and Hypermedia, 2003:28-37.
[13] Hopcroft J, Khan O, Kulis B, Selman B. Tracking evolving communities in large linked networks[J]. Proceedings of the National Academy of Sciences, 2004(1):5249-53.
[14] Asur S, Parthasarathy S, Ucar D. An event-based framework for characterizing the evolutionary behavior of interaction graphs[J]. Acm Transactions on Knowledge Discovery from Data, 2009, 3(4):913-921.
[15] Greene D, Doyle D, Cunningham P. Tracking the evolution of communities in dynamic social networks[C]//International Conference on Advances in Social Networks Analysis and Mining, 2010:176-183.
[16] Mansoureh T, Justin F, Farzad S, Zaiane O R. Tracking changes in dynamic information networks[C]//International Conference on Computational Aspects of Social Networks. 2011:94-101.
[17] Stanislaw S, Bogdan G, Piotr B. Predicting community evolution in social networks[J]. Entropy, 2015, 17(5):3053-3096.
[18] Goldberg M, Magdonismail M, Nambirajan S, Thompson J. Tracking and predicting evolution of social communities[C]//IEEE Third International Conference on Privacy, 2011:780-783.
[19] Gauvin L, Panisson A, Cattuto C. Detecting the community structure and activity patterns of temporal networks:a non-negative tensor factorization approach[J]. Plos One, 2014, 546(2):277-82.
[20] 王翼,吴斌,杨胜琦. CommTracker:一种基于核心的社区演化跟踪算法[J]. 计算机科学与探索,2009, 3(3):282-292. Wang Y, Wu B, Yang S Q. CommTracker:a core-based algorithm of tracking community evolution[J]. Journal of Frontiers of Computer Science and Technology, 2009, 3(3):282-292. (in Chinese)
[21] Ley M. DBLP:some lessons learned[J]. Proceedings of the VLDB endowment, 2009, 2(2):1493-1500.
[22] Subelj L, Bajec M. Robust network community detection using balanced propagation[J]. Physics of Condensed Matter, 2011, 81(3):353-362. |
