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CSE
2009
IEEE
15 years 4 months ago
Large Online Social Footprints-An Emerging Threat
—We study large online social footprints by collecting data on 13,990 active users. After parsing data from 10 of the 15 most popular social networking sites, we find that a use...
Danesh Irani, Steve Webb, Kang Li, Calton Pu
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
CSCW
2008
ACM
14 years 11 months ago
Providing awareness in multi-synchronous collaboration without compromising privacy
When involved in collaborative tasks, users often choose to use multi-synchronous applications in order to concurrently work in isolation. Hence, privacy of their changes is maint...
Claudia-Lavinia Ignat, Stavroula Papadopoulou, G&e...
COMSNETS
2012
222views more  COMSNETS 2012»
13 years 5 months ago
Assessing the veracity of identity assertions via OSNs
Anonymity is one of the main virtues of the Internet, as it protects privacy and enables users to express opinions more freely. However, anonymity hinders the assessment of the ve...
Michael Sirivianos, Kyungbaek Kim, Jian Wei Gan, X...
BIOCOMP
2006
14 years 11 months ago
Theoretical Bounds for the Number of Inferable Edges in Sparse Random Networks
Abstract-- The inference of a network structure from experimental data providing dynamical information about the underlying system of investigation is an important and still outsta...
Frank Emmert-Streib, Matthias Dehmer