A familiar face(book): profile elements as signals in an online social network
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PeerSoN: P2P social networking: early experiences and insights
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On the evolution of user interaction in Facebook
Proceedings of the 2nd ACM workshop on Online social networks
Understanding online social network usage from a network perspective
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Characterizing user behavior in online social networks
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PET'06 Proceedings of the 6th international conference on Privacy Enhancing Technologies
Safebook: A privacy-preserving online social network leveraging on real-life trust
IEEE Communications Magazine
A recommendation system for spots in location-based online social networks
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C4PS: colors for privacy settings
Proceedings of the 21st international conference companion on World Wide Web
Online social networks: A survey of a global phenomenon
Computer Networks: The International Journal of Computer and Telecommunications Networking
C4PS - helping facebookers manage their privacy settings
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
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Analysing Online Social Networks (OSN), voluntarily maintained and automatically exploitable databases of electronic personal information, promises a wealth of insight into their users' behavior, interest, and utilization of these currently predominant services on the Internet. To understand popularity in OSN, we monitored a large sample of profiles from a highly popular network for three months, and analysed the relation between profile properties and their impression frequency. Evaluating the data indicates a strong relation between both the number of accepted contacts and the diligence of updating contacts versus the frequency of requests for a profile. Counter intuitively, the overall activity, gender, as well as participation span of users have no remarkable impact on their profile's popularity.