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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 4 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 5 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»
13 years 11 months 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 10 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 2 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...