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ICDM
2007
IEEE
182views Data Mining» more  ICDM 2007»
14 years 1 months ago
Co-ranking Authors and Documents in a Heterogeneous Network
The problem of evaluating scientific publications and their authors is important, and as such has attracted increasing attention. Recent graph-theoretic ranking approaches have d...
Ding Zhou, Sergey A. Orshanskiy, Hongyuan Zha, C. ...
SIGIR
2010
ACM
13 years 11 months ago
Uncovering social spammers: social honeypots + machine learning
Web-based social systems enable new community-based opportunities for participants to engage, share, and interact. This community value and related services like search and advert...
Kyumin Lee, James Caverlee, Steve Webb
SACMAT
2011
ACM
12 years 10 months ago
Modeling data flow in socio-information networks: a risk estimation approach
Information leakage via the networks formed by subjects (e.g., Facebook, Twitter) and objects (e.g., blogosphere) − some of whom may be controlled by malicious insiders − ofte...
Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling...
IPM
2006
94views more  IPM 2006»
13 years 7 months ago
Binary Pathfinder: An improvement to the Pathfinder algorithm
The Pathfinder algorithm is widely used to prune social networks. The pruning maintains the geodesic distances between nodes. It has shown itself to be very useful in the analysis...
Vicente P. Guerrero Bote, Felipe Zapico-Alonso, Ma...
CSCW
2008
ACM
13 years 9 months ago
Social networks and context-aware spam
Social networks are popular for online communities. This paper evaluates the risk of sophisticated context-aware spam that could result from information sharing on social networks...
Garrett Brown, Travis Howe, Micheal Ihbe, Atul Pra...