@inproceedings{1148225, address = {New York, NY, USA}, author = {Baeza-Yates, Ricardo and Boldi, Paolo and Castillo, Carlos}, booktitle = {SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval}, doi = {http://doi.acm.org/10.1145/1148170.1148225}, interhash = {1096ec9acdf545a40d1a8f4ef0bc9923}, intrahash = {c6247928eadbb74c6e7a7a2f754e2963}, isbn = {1-59593-369-7}, location = {Seattle, Washington, USA}, pages = {308--315}, publisher = {ACM Press}, title = {Generalizing PageRank: damping functions for link-based ranking algorithms}, year = 2006 } @inproceedings{1148187, address = {New York, NY, USA}, author = {Feng, Guang and Liu, Tie-Yan and Wang, Ying and Bao, Ying and Ma, Zhiming and Zhang, Xu-Dong and Ma, Wei-Ying}, booktitle = {SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval}, doi = {http://doi.acm.org/10.1145/1148170.1148187}, interhash = {21d1ae55f77976e7d7c97f2d579a0d15}, intrahash = {683a3288d7e356c98ab0d67e9f42d426}, isbn = {1-59593-369-7}, location = {Seattle, Washington, USA}, pages = {75--82}, publisher = {ACM Press}, title = {AggregateRank: bringing order to web sites}, year = 2006 } @inproceedings{conf/sigir/XuLG03, author = {Xu, Wei and Liu, Xin and Gong, Yihong}, booktitle = {SIGIR}, ee = {http://doi.acm.org/10.1145/860485}, interhash = {27211261d57f136a1116f2f58266fae7}, intrahash = {d1c6f4bdc7ed10778a573dcc395074d9}, pages = {267-273}, title = {Document clustering based on non-negative matrix factorization.}, url = {http://dblp.uni-trier.de/db/conf/sigir/sigir2003.html#XuLG03}, year = 2003 } @article{gibson00clustering, author = {Gibson, David and Kleinberg, Jon M. and Raghavan, Prabhakar}, interhash = {8a2ea9a413538069328404c0bfe9c656}, intrahash = {5205d8f52b2a8f22b63dd40bdd99746a}, journal = {VLDB Journal: Very Large Data Bases}, number = {3--4}, pages = {222--236}, title = {Clustering Categorical Data: An Approach Based on Dynamical Systems}, url = {http://citeseer.ist.psu.edu/cache/papers/cs/157/http:zSzzSzcs.cornell.eduzSzInfozSzPeoplezSzkleinberzSzvldb98.pdf/gibson98clustering.pdf}, volume = 8, year = 2000 } @misc{citeulike:591709, abstract = {We express community detection as an inference problem of determining the most likely arrangement of communities. We then apply belief propagation and mean-field theory to this problem, and show that this leads to fast, accurate algorithms for community detection.}, author = {Hastings, M. B.}, citeulike-article-id = {591709}, eprint = {cond-mat/0604429}, interhash = {fe59f9ef2701365c4a7d31aee35a9f6e}, intrahash = {74f8f223ecf17eb48210c77364580ebf}, month = Apr, priority = {2}, title = {Community Detection as an Inference Problem}, url = {http://arxiv.org/abs/cond-mat/0604429}, year = 2006 }