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On the feasibility of common-friend measurements for the distributed online social networks

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2 Author(s)
Yongquan Fu ; Nat. Key Lab. for Parallel & Distrib. Process., Nat. Univ. of Defense Technol., Changsha, China ; Yijie Wang

Distributed social networks have emerged recently. Nevertheless, recommending friends in the distributed social networks has not been exploited fully. We propose FDist, a distributed common-friend estimation scheme that estimates the number of common-friends between any pair of users without disclosing the friends' information. FDist uses privacy-preserving common-friend measurements to collect a small number of common-friend samples, and uses low-dimensional coordinates to estimate the number of common friends to other users. Simulation results on real-world social networks confirm that FDist is both scalable and accurate.

Published in:

Communications and Networking in China (CHINACOM), 2012 7th International ICST Conference on

Date of Conference:

8-10 Aug. 2012