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» Discovering communities in complex networks
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ACMSE
2006
ACM
13 years 10 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
ICDM
2009
IEEE
125views Data Mining» more  ICDM 2009»
13 years 11 months ago
A Fully Automated Method for Discovering Community Structures in High Dimensional Data
—Identifying modules, or natural communities, in large complex networks is fundamental in many fields, including social sciences, biological sciences and engineering. Recently s...
Jianhua Ruan
AAAI
2007
13 years 6 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...
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
WWW
2008
ACM
14 years 5 months ago
Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
We discover communities from social network data, and analyze the community evolution. These communities are inherent characteristics of human interaction in online social network...
Yu-Ru Lin, Yun Chi, Shenghuo Zhu, Hari Sundaram, B...