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» Social Network Discovery Based on Sensitivity Analysis
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ASUNAM
2009
IEEE
13 years 11 months ago
Social Network Discovery Based on Sensitivity Analysis
—This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of importance metrics, namely the Markov centrality of a node, a metr...
Tarik Crnovrsanin, Carlos D. Correa, Kwan-Liu Ma
SDM
2009
SIAM
331views Data Mining» more  SDM 2009»
14 years 1 months ago
Privacy Preservation in Social Networks with Sensitive Edge Weights.
With the development of emerging social networks, such as Facebook and MySpace, security and privacy threats arising from social network analysis bring a risk of disclosure of con...
Jie Wang, Jinze Liu, Jun Zhang, Lian Liu
TVCG
2012
169views Hardware» more  TVCG 2012»
11 years 7 months ago
Visual Reasoning about Social Networks Using Centrality Sensitivity
—In this paper, we study the sensitivity of centrality metrics as a key metric of social networks to support visual reasoning. As centrality represents the prestige or importance...
Carlos D. Correa, Tarik Crnovrsanin, Kwan-Liu Ma
ICDM
2007
IEEE
192views Data Mining» more  ICDM 2007»
13 years 10 months ago
Discovering Temporal Communities from Social Network Documents
Discovering communities from documents involved in social discourse is an important topic in social network analysis, enabling greater understanding of the relationships among act...
Ding Zhou, Isaac G. Councill, Hongyuan Zha, C. Lee...
CSE
2009
IEEE
13 years 11 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