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PKDD
2007
Springer
132views Data Mining» more  PKDD 2007»
14 years 1 months 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 8 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
IJDMMM
2010
128views more  IJDMMM 2010»
13 years 5 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
CIKM
2006
Springer
13 years 10 months ago
Mining blog stories using community-based and temporal clustering
In recent years, weblogs, or blogs for short, have become an important form of online content. The personal nature of blogs, online interactions between bloggers, and the temporal...
Arun Qamra, Belle L. Tseng, Edward Y. Chang