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ACMSE
2006
ACM
14 years 1 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
KDD
2004
ACM
136views Data Mining» more  KDD 2004»
14 years 8 months ago
Exploring the community structure of newsgroups
d Abstract] Christian Borgs Jennifer Chayes Mohammad Mahdian Amin Saberi We propose to use the community structure of Usenet for organizing and retrieving the information stored i...
Christian Borgs, Jennifer T. Chayes, Mohammad Mahd...
WWW
2008
ACM
14 years 8 months ago
Statistical properties of community structure in large social and information networks
A large body of work has been devoted to identifying community structure in networks. A community is often though of as a set of nodes that has more connections between its member...
Jure Leskovec, Kevin J. Lang, Anirban Dasgupta, Mi...
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 6 months ago
Spectral methods for the detection of network community structure: a comparative analysis
Spectral analysis has been successfully applied to the detection of community structure of networks, respectively being based on the adjacency matrix, the standard Laplacian matrix...
Hua-Wei Shen, Xue-Qi Cheng
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
14 years 8 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...