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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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173 is connected and that each new user has at least one trust link. Thus, Ostra can be used only in conjunction with a “invitation-only” social network. Users with few links in the trust network are more susceptible to credit exhaus- tion (whether accidental or malicious). Thus, there is an incentive for users to obtain and maintain a sufficient number of trust links. Establishing additional links can be done via the communication system after the user has joined Ostra. Link invitations are treated as normal messages, so users who attempt to send unwanted link invi- tations are blocked in the same manner as users who send other forms of unwanted communication. 8.3.2 Content classification Ostra requires that recipients classify incoming communication as either wanted or unwanted. Providing explicit feedback is a slight burden on the user, but it may be a small price to pay for a system that responds to each user’s preferences and is free of the misclassifications that are common in current content-based filtering systems [5]. Moreover, the feedback can often be derived implicitly from a user’s actions; for instance, deleting a message probably indicates that the message was unwanted, whereas archiving or replying to the message strongly indicates that it was wanted. As an optimization in message-based communication systems, a user could main- tain a whitelist indicating users from whom communication is immediately and un-

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