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» Detection of anomalous meetings in a social network
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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
14 years 5 months ago
Finding tribes: identifying close-knit individuals from employment patterns
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
Lisa Friedland, David Jensen
CSE
2009
IEEE
13 years 9 months ago
Quantifying Utility and Trustworthiness for Advice Shared on Online Social Media
—The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, ther...
Sai T. Moturu, Jian Yang, Huan Liu
AIRWEB
2007
Springer
13 years 11 months ago
Computing Trusted Authority Scores in Peer-to-Peer Web Search Networks
Peer-to-peer (P2P) networks have received great attention for sharing and searching information in large user communities. The open and anonymous nature of P2P networks is one of ...
Josiane Xavier Parreira, Debora Donato, Carlos Cas...
SOCIALCOM
2010
13 years 2 months ago
GDC: Group Discovery Using Co-location Traces
Smart phones can collect and share Bluetooth co-location traces to identify ad hoc or semi-permanent social groups. This information, known to group members but otherwise unavailab...
Steve Mardenfeld, Daniel Boston, Susan Juan Pan, Q...