Abstract
Social networking web sites or social networks for short (SNs) have become an important web service with a broad range of applications. In an SN, a user publishes and shares information and services. We propose a utility function to measure the rational benefit derived by a user from her participation in an SN, in terms of information acquired vs information provided. We show that independently and selfishly maximizing this utility leads users to “free-riding”, i.e. getting information about other users and offering no information about themselves. This results in SN shutdown (no functionality). We then propose protocols to achieve a correlated equilibrium between users, in which they coordinate their disclosures in view of jointly maximizing their utilities. The proposed protocol can be used to assist an SN user in making rational decisions regarding which of her attributes she reveals to other users.
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References
Babaioff, M., Chuang, J., Feldman, M.: Incentives in peer-to-peer systems. In: Nisan, N., Roughgarden, T., Tardos, É., Vazirani, V.V. (eds.) Algorithmic Game Theory, pp. 593–611. Cambridge University Press, Cambridge (2007)
Carminati, B., Ferrari, E., Perego, A.: Private relationships in social networks. In: Proceedings of ICDE 2007 Third International Workshop on Privacy Data Management, pp. 163–171. IEEE Computer Society, Los Alamitos (2007)
Domingo-Ferrer, J., Viejo, A., Sebé, F., González-Nicolás, Ú.: Privacy homomorphisms for social networks with private relationships. Computer Networks 52, 3007–3016 (2008)
Liu, K., Terzi, E.: A framework for computing the privacy scores of users in online social networks. In: Proc. of ICDM 2009-The 9th IEEE International Conference on Data Mining, pp. 288–297 (2009)
Narayanan, A., Shmatikov, V.: De-anonymizing social networks. In: 30th Symposium on Security and Privacy, Oakland, California, pp. 173–187 (2009)
Tardos, É., Vazirani, V.V.: Basic solution concepts and computational issues. In: Nisan, N., Roughgarden, T., Tardos, É., Vazirani, V.V. (eds.) Algorithmic Game Theory, pp. 3–28. Cambridge University Press, Cambridge (2007)
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Domingo-Ferrer, J. (2010). Rational Privacy Disclosure in Social Networks. In: Torra, V., Narukawa, Y., Daumas, M. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2010. Lecture Notes in Computer Science(), vol 6408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16292-3_25
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DOI: https://doi.org/10.1007/978-3-642-16292-3_25
Publisher Name: Springer, Berlin, Heidelberg
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