[1] |
LI X, CHEN G R. A local-world evolving networkmodel [J]. Physica A, 2003, 328(1): 274-286.
|
[2] |
BARRAT A, BARTH′ELEMY M, VESPIGNANI A.Weighted evolving networks: Coupling topology andweight dynamics [J]. Physicals Review Letters, 2004,92(22): 228701.
|
[3] |
SHETTY J, ADIBI J. Discovering important nodesthrough graph entropy: The case of enron emaildatabase [C]//Proceedings of the 3rd InternationalWorkshop on Link Discovery. Chicage, USA: ACM,2005: 74-81.
|
[4] |
AKOGLU L. Mining and modeling real-world networks:Patterns, anomalies, and tools [D]. Pittsburgh,PA: School of Computer Science, Carnegie Mellon University,2012.
|
[5] |
BORGATTI S P. Identifying sets of key players in asocial network [J]. Computational and MathematicalOrganization Theory, 2006, 12: 21-34.
|
[6] |
PITTEL B, SPENCER J, WORMALD N. Suddenemergence of a giant k-core in a random graph [J].Journal of Combinatorial Theory, Series B, 1996, 67:111-151.
|
[7] |
CARMI S, HAVLIN S, KIRKPATRICK S, et al. Amodel of Internet topology using k-shell decomposition[J]. Proceedings of the National Academy of Sciences ofthe United States of America, 2007, 104(27): 11150-11154.
|
[8] |
REN Z M, LIU J G, SHAO F, et al. Analysis of thespreading influence of the nodes with minimum K-shellvalue in complex networks [J]. Acta Physica Sinica,2013, 62(10): 466-471 (in Chinese).
|
[9] |
GAO J, LIANG F, FAN W, et al. On communityoutliers and their efficient detection in informationnetworks [C]//Proceedings of International Conferenceon Knowledge Discovery & Data Mining. Washington,USA: ACM, 2010: 813-822.
|
[10] |
YOSHINOBU K, YAIRI T, MACHIDA K. Changepointdetection in time-series data based on subspaceidentification [C]//Proceedings of the 2007 SeventhIEEE International Conference on Data Mining. Omaha,USA: IEEE, 2007: 559-564.
|