Searching overlapping communities for group query

[1]  Derong Shen,et al.  An Efficient Approach of Overlapping Communities Search , 2015, DASFAA.

[2]  Kyomin Jung,et al.  LinkSCAN*: Overlapping community detection using the link-space transformation , 2014, 2014 IEEE 30th International Conference on Data Engineering.

[3]  Haixun Wang,et al.  Online search of overlapping communities , 2013, SIGMOD '13.

[4]  Yiannis Kompatsiaris,et al.  Community detection in Social Media , 2012, Data Mining and Knowledge Discovery.

[5]  Marko Bajec,et al.  Unfolding communities in large complex networks: Combining defensive and offensive label propagation for core extraction , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Aristides Gionis,et al.  The community-search problem and how to plan a successful cocktail party , 2010, KDD.

[7]  Steve Gregory,et al.  Finding overlapping communities in networks by label propagation , 2009, ArXiv.

[8]  Randy Goebel,et al.  Local Community Identification in Social Networks , 2009, 2009 International Conference on Advances in Social Network Analysis and Mining.

[9]  R. Lambiotte,et al.  Line graphs, link partitions, and overlapping communities. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  David C. Roberts,et al.  Mapping the Evolution of Scientific Fields , 2009, PloS one.

[11]  Sune Lehmann,et al.  Link communities reveal multiscale complexity in networks , 2009, Nature.

[12]  Yiannis Kompatsiaris,et al.  Bridge Bounding: A Local Approach for Efficient Community Discovery in Complex Networks , 2009, 0902.0871.

[13]  Mauro Brunato,et al.  On Effectively Finding Maximal Quasi-cliques in Graphs , 2008, LION.

[14]  Jure Leskovec,et al.  Statistical properties of community structure in large social and information networks , 2008, WWW.

[15]  Réka Albert,et al.  Near linear time algorithm to detect community structures in large-scale networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  James P. Bagrow Evaluating local community methods in networks , 2007, 0706.3880.

[17]  Marco Pellegrini,et al.  Extraction and classification of dense communities in the web , 2007, WWW '07.

[18]  Feng Luo,et al.  Exploring Local Community Structures in Large Networks , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

[19]  Paul A. Bates,et al.  Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis , 2006, BMC Bioinformatics.

[20]  Ravi Kumar,et al.  Discovering Large Dense Subgraphs in Massive Graphs , 2005, VLDB.

[21]  T. Vicsek,et al.  Uncovering the overlapping community structure of complex networks in nature and society , 2005, Nature.

[22]  A. Clauset Finding local community structure in networks. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  E. Bollt,et al.  Local method for detecting communities. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[25]  C. Lee Giles,et al.  Efficient identification of Web communities , 2000, KDD '00.

[26]  T. Vicsek,et al.  Data and text mining CFinder : locating cliques and overlapping modules in biological networks , 2006 .