Reputation Diffusion Simulation for Avoiding Privacy Violation
25 June 2012
When people expose their private life in social networks, this doesn't mean that they don't care about their privacy, but they lack tools to evaluate the risk and to protect their data. To help them, we have previously designed a system called FORPS for Friends Oriented Reputation Privacy Score which evaluates the dangerousness of people who want to become our friends, by computing their propensity to propagate sensitive information. To anticipate the long-term and large scale effects of our system, we have built a multiagent simulation that models a high number of interactions between people. We show that privacy protection based on different variants of the FORPS system produces better results than a simple decision process, in term of evaluation of the requestor's dangerousness, of convergence speed and of resistance to rumor phenomena. (Abstract) Social Networks; Reputation; Privacy; Multi-Agent modeling (key words)
