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WWW
2007
ACM
14 years 9 months ago
Extraction and classification of dense communities in the web
The World Wide Web (WWW) is rapidly becoming important for society as a medium for sharing data, information and services, and there is a growing interest in tools for understandi...
Yon Dourisboure, Filippo Geraci, Marco Pellegrini
CIKM
2010
Springer
13 years 7 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
WWW
2007
ACM
14 years 9 months ago
Expertise networks in online communities: structure and algorithms
Web-based communities have become important places for people to seek and share expertise. We find that networks in these communities typically differ in their topology from other...
Jun Zhang, Mark S. Ackerman, Lada A. Adamic
KDD
2009
ACM
194views Data Mining» more  KDD 2009»
14 years 9 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
CIKM
2008
Springer
13 years 10 months ago
Scalable community discovery on textual data with relations
Every piece of textual data is generated as a method to convey its authors' opinion regarding specific topics. Authors deliberately organize their writings and create links, ...
Huajing Li, Zaiqing Nie, Wang-Chien Lee, C. Lee Gi...