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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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203 is performed by the content consumers, rather than the producers, content introduced into the network can by rated almost immediately. 9.1.3 Leveraging shared interest in Web search Today, the information stored in different social networks and in the Web is mostly disjoint. Each system has its own method of searching information. While search companies have started to address this issue with specialized search tools for RSS- based news feeds and for blogs, there is no unified search tool that locates information across different systems. Social network-based search methods are not generally used in the Web, though services like Google Scholar support search facilities tailored to a specific community. Given that end users access both the Web and the social networks from the same browsers, it seems natural to unify the methods to find information as well. In this chapter, we explore the idea of integrating Web search with search in social networks, with the goal of leveraging the shared interest that exists between users. We believe that such an approach could combine the strengths of both types of systems: simultaneously exploiting the information contained in hyperlinks, and information from implicit and explicit user feedback; leveraging the huge investment in conventional Web search, while also ranking search results relative to the interests of a social network; and locating timely, short-lived, non-textual or special-interest information alongside the vast amounts of long-lived and textual information on the

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