Title :
Detecting Hidden Friendship in Online Social Network
Author_Institution :
Inst. for Knowledge & Inf. Manage., Leuphana Univ. Luneburg, Luneburg, Germany
Abstract :
For many intelligence and security applications it is important to know how close people in a network are. In online social networks (OSN) friendship links are a frequently chosen basis for the analysis. In this paper we show that friendship links can be misleading, if we want to know to what extent people in a network trust into each other. We also show how to unveil hidden friendship relations based on an analysis of exceptions in the privacy settings. We furthermore discuss resulting options for defeating crime and terrorism as well as associated privacy, security and civil liberty issues.
Keywords :
computer crime; data privacy; social networking (online); terrorism; civil liberty; crime; friendship link; hidden friendship detection; intelligence application; online social network; privacy setting; security application; terrorism; DH-HEMTs; Data privacy; Facebook; Permission; Privacy; Terrorism; disclosure; hidden friendship; online social network; privacy; trust;
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2011 European
Conference_Location :
Athens
Print_ISBN :
978-1-4577-1464-1
Electronic_ISBN :
978-0-7695-4406-9
DOI :
10.1109/EISIC.2011.14