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ICML
2007
IEEE
14 years 7 months ago
Graph clustering with network structure indices
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
Matthew J. Rattigan, Marc Maier, David Jensen
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
14 years 6 months ago
Combining link and content for community detection: a discriminative approach
In this paper, we consider the problem of combining link and content analysis for community detection from networked data, such as paper citation networks and Word Wide Web. Most ...
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
PKDD
2007
Springer
132views Data Mining» more  PKDD 2007»
14 years 11 days ago
An Algorithm to Find Overlapping Community Structure in Networks
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
Steve Gregory
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 7 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
WWW
2006
ACM
14 years 7 months ago
Community discovery and analysis in blogspace
Weblog has quickly evolved into a new information and knowledge dissemination channel. Yet it is not easy to discover weblog communities through keyword search. The main contribut...
Ying Zhou, Joseph Davis