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IJDMMM
2010
128views more  IJDMMM 2010»
15 years 4 months ago
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
Haizheng Zhang, Ke Ke, Wei Li, Xuerui Wang
CSE
2009
IEEE
16 years 1 months ago
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
Amin Milani Fard, Martin Ester
ISI
2010
Springer
15 years 4 months ago
Measuring behavioral trust in social networks
Abstract—Trust is an important yet complex and little understood dyadic relation among actors in a social network. There are many dimensions to trust; trust plays an important ro...
Sibel Adali, Robert Escriva, Mark K. Goldberg, Myk...
JCDL
2009
ACM
134views Education» more  JCDL 2009»
16 years 26 days ago
What happens when facebook is gone?
Web users are spending more of their time and creative energies within online social networking systems. While many of these networks allow users to export their personal data or ...
Frank McCown, Michael L. Nelson
ACL
2010
15 years 4 months ago
Extracting Social Networks from Literary Fiction
We present a method for extracting social networks from literature, namely, nineteenth-century British novels and serials. We derive the networks from dialogue interactions, and t...
David K. Elson, Nicholas Dames, Kathleen McKeown