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» Data and Structural k-Anonymity in Social Networks
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CSE
2009
IEEE
15 years 4 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
ASUNAM
2011
IEEE
13 years 9 months ago
Content-based Modeling and Prediction of Information Dissemination
—Social and communication networks across the world generate vast amounts of graph-like data each day. The modeling and prediction of how these communication structures evolve ca...
Kathy Macropol, Ambuj K. Singh
CHI
2010
ACM
15 years 4 months ago
Social network activity and social well-being
Previous research has shown a relationship between use of social networking sites and feelings of social capital. However, most studies have relied on self-reports by college stud...
Moira Burke, Cameron Marlow, Thomas M. Lento
JMLR
2012
13 years 1 days ago
Graphlet decomposition of a weighted network
We introduce the graphlet decomposition of a weighted network, which encodes a notion of social information based on social structure. We develop a scalable algorithm, which combi...
Hossein Azari Soufiani, Edo Airoldi
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
15 years 10 months ago
A framework for community identification in dynamic social networks
We propose frameworks and algorithms for identifying communities in social networks that change over time. Communities are intuitively characterized as "unusually densely kni...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf, D...