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9 system, Ostra, (i) relies on existing social networks to connect senders and receivers via chains of pairwise relationships; (ii) uses a pairwise, link-based credit scheme that imposes a cost on senders of unwanted communication without requiring sender au- thentication or global identities; and (iii) relies on feedback from receivers to classify unwanted communication. Ostra ensures that unwanted communication strains the sender’s relationships, even if the sender has no direct relationship with the ultimate recipient of the communication. A user who continues to send unwanted communica- tion will eventually lose the ability to communicate. An evaluation of Ostra on traces from an online social network demonstrate that it can effectively block unwanted communication. 1.5 Peerspective: Leveraging shared interest In Chapter 9, we demonstrate how to leverage communities in online social networks to help users find interesting content. Users increasingly share content, recommen- dations, opinions, and ratings using online social networks. However, the growing number of users and the increasing variety and volume of shared information on these sites aggravates two fundamental problems in information sharing: privacy and relevance. Since users are often sharing personal information, privacy and access control is critical. Additionally, since the volume of shared content is growing at an enormous rate, finding relevant information is becoming increasingly difficult. We argue that communities are an important concept that can offer a solution to thisPDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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