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8 potentially overlapping communities, when given information about a small subset of the community members. The algorithm uses the ratio between the number of links within a community and number of links between the community and the rest of the network. We demonstrate that the algorithm works well in practice: even if community membership information is only known for as few as 20% of the users, the remaining members of the community can be determined with high accuracy. 1.4 Ostra: Leveraging relationships Finally, we present systems that leverage social networks to solve open systems chal- lenges. In Chapter 8, we present a system that exploits the the difficulty in es- tablishing and maintaining relationships in social networks to address the problem of unwanted communication. Internet-based communication systems such as email, instant messaging (IM), voice-over-IP (VoIP), online social networks, and content- sharing sites allow communication at near zero marginal cost to users. Any user with an inexpensive Internet connection has the potential to reach millions of users. This property has democratized content publication: anyone can publish content, and anyone interested in the content can obtain it. Unfortunately, the same property can be abused for the purpose of unsolicited marketing, propaganda, or disruption of legitimate communication. We describe a method that exploits existing relationships among users in an on- line social network to impose a cost on the senders of unwanted communication. OurPDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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