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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Chapter 1 Introduction Since its creation, the Internet has spawned many information sharing networks, the most well-known of which is the World Wide Web. Recently, a new class of information networks called “online social networks” have exploded in popularity and now rival the traditional Web in terms of usage [112]. Social networking sites such as MySpace (over 246 million users)1, Facebook (over 124 million users), Orkut (over 67 million users), and LinkedIn (over 9 million “professionals”) are examples of wildly popular networks used to find and organize contacts. Other social networks such as Flickr, YouTube, and Google Video, are used to share multimedia content, and others such as LiveJournal and BlogSpot are used to share blogs. Unlike the traditional Web, which is largely organized by content, online social networks embody users as first-class entities. Users join a network, publish their own content, and create links to other users in the network called “friends”. This basic user-to-user link structure facilitates online interaction by providing a mechanism for organizing both real-world and virtual contacts, for finding other users with simi- lar interests, and for locating content and knowledge that has been contributed or 1The number of users refers to the number of identities as of November 2008 as published by each social networking site. 1

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