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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2.2 Why study online social networks? Online social networking is still very much in its infancy, yet it already forms the basis for some enormously popular applications. As this paradigm matures, we expect more sophisticated applications to naturally emerge. It is not inconceivable that social networking systems will eventually become de-facto portals for both personal and commercial online interactions. Below, we outline a few of the many potential applications that could benefit from understanding the structure of and information flow in these networks. Additionally, we speculate on how the data collected in this thesis could be relevant to researchers in other disciplines. 2.2.1 Trust Adjacent users in a social network tend to trust each other more than random pairs of users in the network. A number of research systems have already been proposed to exploit this trust. Trust relationships are being used in the PGP web of trust [172] to eliminate the need for a trusted certificate authority. SybilGuard [169] and Sybil- Limit [168] uses the social network to mitigate Sybil [44] attacks in distributed sys- tems, exploiting the fact that real people tend to have a diverse set of social relations. Re [57] determines the social network distance between the sender and the receiver of an email to aid SPAM detection. We believe that a deeper understanding of the underlying topology is an essential first step in the design and analysis of robust trust and reputation metrics for these systems. 19

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