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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems

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Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems ( online-social-networks-measurement-analysis-and-applications )

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185 involved in a min-cut for a given pair of users differed from the set of links adjacent to either one of the two users. Such a min-cut could be the target of an attack, because the attackers could exhaust credit on this set of links before they exhaust the credit on their own links. 10 8 6 4 2 0 5 10 15 20 25 30 35 40 45 50 Smaller of two users’ degrees Figure 8.11 : Proportion of 3,000 random user pairs for which the min-cut was not adjacent to one of the users, as a function of the lower of the two users’ degrees. The fraction decreases as the users become well-connected, suggesting that a trust network with well-connected users is not vulnerable to link attacks. Figure 8.11 plots the proportion of user pairs for which the min-cut was not adjacent to one of the users, as a function of the lower of the two users’ degrees. The results suggest that vulnerable links inside the network occur rarely, and that their frequency decreases with the degree of user connectivity. Therefore, the better connected users are in the trust network, the more robust the network is to link attacks. Because users in Ostra already have an incentive to maintain a certain number of links for other reasons, one would expect that a real Ostra trust network would not be vulnerable to link attacks. Proportion of min-cuts on non-adjacent links (%)

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