A Game Theoretic Approach for Modeling Privacy Settings of an Online Social Network

Chen, Jundong and R. Kiremire, Ankunda and Brust, Matthias R. and Phoha, Vir V. (2014) A Game Theoretic Approach for Modeling Privacy Settings of an Online Social Network. EAI Endorsed Transactions on Collaborative Computing, 1 (1). e4. ISSN 2312-8623

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Users of online social networks often adjust their privacy settings to control how much information on their profiles is accessible to other users of the networks. While a variety of factors have been shown to affect the privacy strategies of these users, very little work has been done in analyzing how these factors influence each other and collectively contribute towards the users’ privacy strategies. In this paper, we analyze the influence of attribute importance, benefit, risk and network topology on the users’ attribute disclosure behavior by introducing a weighted evolutionary game model. Results show that: irrespective of risk, users aremore likely to reveal theirmost important attributes than their least important attributes; when the users’ range of influence is increased, the risk factor plays a smaller role in attribute disclosure; the network topology exhibits a considerable effect on the privacy in an environment with risk.

Item Type: Article
Uncontrolled Keywords: game theory, social network, privacy settings, network topology
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 01 Jul 2021 11:52
Last Modified: 01 Jul 2021 11:52
URI: https://eprints.eudl.eu/id/eprint/4289

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