Community evolution in dynamic multi-mode networks
作者： Lei Tang , Huan Liu , Jianping Zhang , Zohreh Nazeri
关键词:
摘要: … model to identify community evolution in dynamic multi-mode networks by adopting a spectral clustering framework. Essentially, the dynamic multi… by assigning proper prior. Mixed block …
acm.org
core.ac.uk
elsevier.com
leitang.net 参考文章(38)
Jordi Palau, Miquel Montaner, Beatriz López, Josep Lluís De La Rosa, None, Collaboration Analysis in Recommender Systems Using Social Networks cooperative information agents. pp. 137- 151 ,(2004) , 10.1007/978-3-540-30104-2_11
Ronald Brelger, Kathleen Carley, Philippa Pattison, Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers National Academy Press. ,(2004)
Thomas L. Griffiths, Joshua B. Tenenbaum, Charles Kemp, Discovering Latent Classes in Relational Data ,(2004)
Bryan Klimt, Yiming Yang, The enron corpus: a new dataset for email classification research european conference on machine learning. pp. 217- 226 ,(2004) , 10.1007/978-3-540-30115-8_22
David M Blei, Andrew Y Ng, Michael I Jordan, None, Latent dirichlet allocation Journal of Machine Learning Research. ,vol. 3, pp. 993- 1022 ,(2003) , 10.5555/944919.944937
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, Hongyuan Zha, Probabilistic models for discovering e-communities Proceedings of the 15th international conference on World Wide Web - WWW '06. pp. 173- 182 ,(2006) , 10.1145/1135777.1135807
Lauren Ancel Meyers, M.E.J. Newman, Babak Pourbohloul, Predicting epidemics on directed contact networks Journal of Theoretical Biology. ,vol. 240, pp. 400- 418 ,(2006) , 10.1016/J.JTBI.2005.10.004
Purnamrita Sarkar, Andrew W. Moore, Dynamic social network analysis using latent space models Sigkdd Explorations. ,vol. 7, pp. 31- 40 ,(2005) , 10.1145/1117454.1117459
Chris Ding, Tao Li, Wei Peng, Haesun Park, Orthogonal nonnegative matrix t-factorizations for clustering knowledge discovery and data mining. pp. 126- 135 ,(2006) , 10.1145/1150402.1150420
Gueorgi Kossinets, Duncan J Watts, Empirical Analysis of an Evolving Social Network Science. ,vol. 311, pp. 88- 90 ,(2006) , 10.1126/SCIENCE.1116869