Modeling privacy settings of an online social network from a game-theoretical perspective

Jundong Chen, Matthias R. Brust, Ankunda R. Kiremire, Vir V. Phoha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

Users of online social networks are often required to adjust their privacy settings because of frequent changes in the users' connections as well as occasional changes in the social network's privacy policy. In this paper, we specifically model the user's behavior in the disclosure of user attributes in a possible social network from a game-theoretic perspective by introducing a weighted evolutionary game. We analyze the influence of attribute importance and network topology on the user's behavior in selecting privacy settings. Results show that users are more likely to reveal their most important attributes than less important attributes regardless of the risk. Results also show that the network topology exhibits a considerable effect on the privacy in a risk-included environment but a limited effect in a risk-free environment. The provided models and the gained results can be used to understand the influence of different factors on users' privacy choices.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th IEEE International Conference on Collaborative Computing
Subtitle of host publicationNetworking, Applications and Worksharing, COLLABORATECOM 2013
Pages213-220
Number of pages8
DOIs
StatePublished - Dec 1 2013
Externally publishedYes
Event9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013 - Austin, TX, United States
Duration: Oct 20 2013Oct 23 2013

Publication series

NameProceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013

Other

Other9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013
CountryUnited States
CityAustin, TX
Period10/20/1310/23/13

Keywords

  • game theory
  • network topology
  • privacy setting
  • social network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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    Chen, J., Brust, M. R., Kiremire, A. R., & Phoha, V. V. (2013). Modeling privacy settings of an online social network from a game-theoretical perspective. In Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013 (pp. 213-220). [6679987] (Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, COLLABORATECOM 2013). https://doi.org/10.4108/icst.collaboratecom.2013.254054