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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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17 to discover new content. Typically, the content is automatically indexed, and, if publicly available, made accessible via a textual search. An example is Flickr’s photo search, which allows users to locate photos by searching based on tags and comments. Once on the site, users can submit their uploaded content into groups that they are a member of. The privacy settings often allow for the content to be accessible only by group members. Moreover, the sites generally allow users to browse the content uploaded to groups they are members of. Users are also often allowed to create favorite lists, which link to a user’s favorite content uploaded by other users. These favorite lists are also generally publicly ac- cessible from the user’s profile page. Similarly, most sites allow users to comment on pieces of content, much like a Usenet posting, and the comments appear alongside the piece of content itself. Finally, many sites contain most popular content lists, which contain the most popular content items (in terms of the number of views, comments, or ratings) that have been recently uploaded. Users can browse these lists to find new content to view. A notable example is YouTube’s top-100 lists, where popularity is based on the number of views, comments, or favorite-markings a video has recently received. 2.1.4 A new form of information exchange To underscore how online social networks represent different information distribution systems relative to systems like the Web, we focus briefly in this section on how con-

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