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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 5 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
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
HT
2007
ACM
13 years 8 months ago
Identifying subcommunities using cohesive subgroups in social hypertext
Web pages can be modeled as nodes in a social network, and hyperlinks between pages form links (relationships) between the nodes. Links may take the form of comments, for example ...
Alvin Chin, Mark H. Chignell
KES
2009
Springer
13 years 9 months ago
Virtual Communities of Practice's Purpose Evolution Analysis Using a Concept-Based Mining Approach
Today, social networks systems have become more and more important. People have change their way to relate and communicate. Therefore, how to enhance contents and organization of a...
Sebastián A. Ríos, Felipe Aguilera, ...