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» Mining Antagonistic Communities from Social Networks
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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
2009
IEEE
211views Data Mining» more  ICDM 2009»
13 years 11 months ago
Discovering Organizational Structure in Dynamic Social Network
—Applying the concept of organizational structure to social network analysis may well represent the power of members and the scope of their power in a social network. In this pap...
Jiangtao Qiu, Zhangxi Lin, Changjie Tang, Shaojie ...
UIC
2010
Springer
13 years 3 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
ISI
2008
Springer
13 years 4 months ago
Data mining for social network analysis
A social network is defined as a social structure of individuals, who are related (directly or indirectly to each other) based on a common relation of interest, e.g. friendship, t...
J. Srivastava
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
13 years 9 months ago
MetaFac: community discovery via relational hypergraph factorization
This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. Community structure represents the laten...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...