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» An Algorithm to Find Overlapping Community Structure in Netw...
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FCSC
2007
130views more  FCSC 2007»
13 years 5 months ago
An improved algorithm for finding community structure in networks with an application to IPv6 backbone network
The discovery of community structure in a large number of complex networks has attracted lots of interest in recent years. One category of algorithms for detecting community struct...
Yingxin Guo, Ke Xu
WWW
2007
ACM
14 years 6 months ago
Finding community structure in mega-scale social networks: [extended abstract]
[Extended Abstract] Ken Wakita Tokyo Institute of Technology 2-12-1 Ookayama, Meguro-ku Tokyo 152-8552, Japan wakita@is.titech.ac.jp Toshiyuki Tsurumi Tokyo Institute of Technolog...
Ken Wakita, Toshiyuki Tsurumi
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
14 years 8 days ago
Finding Cohesive Clusters for Analyzing Knowledge Communities
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
Vasileios Kandylas, S. Phineas Upham, Lyle H. Unga...
DBISP2P
2003
Springer
113views Database» more  DBISP2P 2003»
13 years 11 months ago
Structuring Peer-to-Peer Networks Using Interest-Based Communities
Abstract. Interest-based communities are a natural arrangement of distributed systems that prune the search space and allow for better dissemination of information to participating...
Mujtaba Khambatti, Kyung Dong Ryu, Partha Dasgupta
SOCIALCOM
2010
13 years 3 months ago
Measuring Similarity between Sets of Overlapping Clusters
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...