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» Characterizing user behavior in online social networks
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112
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ICDIM
2010
IEEE
14 years 10 months ago
Social network collaborative filtering framework and online trust factors: A case study on Facebook
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
Wei Chen, Simon Fong
KDD
2009
ACM
379views Data Mining» more  KDD 2009»
15 years 5 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...
113
Voted
ICWSM
2009
14 years 10 months ago
Analysis of Social Influence in Online Book Reviews
It has been widely recognized that online opinions constitute important informational sources for consumers and producers. The open nature of communication supported by social med...
Patty Sakunkoo, Nathan Sakunkoo
99
Voted
KDD
2010
ACM
263views Data Mining» more  KDD 2010»
15 years 4 months ago
Social action tracking via noise tolerant time-varying factor graphs
Users’ behaviors (actions) in a social network are influenced by various factors such as personal interests, social influence, and global trends. However, few publications sys...
Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, Fengj...
79
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DIMVA
2007
15 years 1 months ago
Characterizing Bots' Remote Control Behavior
A botnet is a collection of bots, each generally running on a compromised system and responding to commands over a “commandand-control” overlay network. We investigate observab...
Elizabeth Stinson, John C. Mitchell