Revealing Fake Profiles in Social Networks by Longitudinal Data Analysis

The goal of the current research is to detect fake identities among newly registered users of vk.com. Ego networks in vk.com for about 200.000 most recently registered profiles were gathered and analyzed longitudinally. The reason is that a certain percentage of new user accounts are faked, and the faked accounts and normal accounts have different behavioural patterns. Thus, the former can be detected already in a few first days. Social graph metrics were calculated and analysis was performed that allowed to reveal outlying suspicious profiles, some of which turned out to be legitimate celebrities, but some were fake profiles involved in social media marketing and other malicious activities, as participation in friend farms.

Aleksei Romanov, Alexander Semenov, Jari Veijalainen (University of Jyväskylä): Revealing Fake Profiles in Social Networks by Longitudinal Data Analysis

http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=O63ZgAzovIQ=&t=1

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