Data Mining: Risks of Friendships on Social Networks

 

Research:  Risks of Friendships on Social Networks

Authors: Prepared by Cuneyt Gurcan Akcora, Barbara Carminati and Elena Ferrari (DISTA, Universita` degli Studi dell’Insubria Via Mazzini 5, Varese, Italy),  Risks of Friendships on Social Networks is a prepared paper submitted and accepted by the 2012 IEEE Conference on Data Mining (ICDM).

Abstract: In this paper, the authors explore the risks of friends in social networks caused by their friendship patterns, by using real life social network data and starting from a previously defined risk model. Particularly, they observe that risks of friendships can be mined by analyzing users’ attitude towards friends of friends. This allows new insights into friendship and risk dynamics on social networks.

Analysis:  Summarized analysis from this paper includes observations on:

  • Transformation
  • Baseline Estimation
  • Learning Friends Impacts
  • Assigning Risk Labels to Friends

Applicability:  Risks of Friendships on Social Networks offers unique insight into the privacy risks of online friendships and provides salient considerations for the development of risk models that could be applied to social network users.

Access: (PDF) http://bit.ly/Xk5mlX (arXiv.org)

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