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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
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
SBP
2011
Springer
12 years 11 months ago
Tracking Communities in Dynamic Social Networks
The study of communities in social networks has attracted considerable interest from many disciplines. Most studies have focused on static networks, and in doing so, have neglected...
Kevin S. Xu, Mark Kliger, Alfred O. Hero
HICSS
2009
IEEE
123views Biometrics» more  HICSS 2009»
13 years 11 months ago
Users' Influence on the Success of Online Communities
This paper examines how different facets of favorable user behavior drive the success of an online community by using a unique data set with surveys from 1,389 participants from t...
Jakob Assmann, Philipp Sandner, Sophie Ahrens
UIC
2010
Springer
13 years 2 months ago
Extracting Social and Community Intelligence from Digital Footprints: An Emerging Research Area
As a result of the recent explosion of sensor-equipped mobile phone market, the phenomenal growth of Internet and social network users, and the large deployment of sensor network i...
Daqing Zhang, Bin Guo, Bin Li, Zhiwen Yu