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JSAI
2005
Springer
13 years 10 months ago
Exploration of Researchers' Social Network for Discovering Communities
Abstract. The research community plays a very important role in helping researchers undertake new research topics. The authors propose a community mining system that helps to find...
Ryutaro Ichise, Hideaki Takeda, Kosuke Ueyama
WEBI
2010
Springer
13 years 2 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
13 years 11 months ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
IJDMMM
2010
128views more  IJDMMM 2010»
13 years 3 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
AAAI
2007
13 years 7 months ago
Probabilistic Community Discovery Using Hierarchical Latent Gaussian Mixture Model
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
Haizheng Zhang, C. Lee Giles, Henry C. Foley, John...