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Published July 8, 2019 | Submitted
Report Open

Information-Sharing and Privacy in Social Networks

Abstract

We present a new model for reasoning about the way information is shared among friends in a social network, and the resulting ways in which it spreads. Our model formalizes the intuition that revealing personal information in social settings involves a trade-off between the benefits of sharing information with friends, and the risks that additional gossiping will propagate it to people with whom one is not on friendly terms. We study the behavior of rational agents in such a situation, and we characterize the existence and computability of stable information-sharing networks, in which agents do not have an incentive to change the partners with whom they share information. We analyze the implications of these stable networks for social welfare, and the resulting fragmentation of the social network.

Additional Information

This work has been supported in part by NSF grants CCF-0325453, BCS-0537606, IIS-0705774, IIS-0910664, CCF-0910940, a Google Research Grant, a Yahoo! Research Alliance Grant, the John D. and Catherine T. MacArthur Foundation, and a NSF-funded Computing Research Association Computing Innovation Postdoctoral Fellowship.

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Additional details

Created:
August 19, 2023
Modified:
October 20, 2023