From PageRank to Social Rank: Authority-Based Retrieval in Social Information Spaces

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Author(s): Sebastian Marius Kirsch (University of Bonn, Germany), Melanie Gnasa (University of Bonn, Germany), Markus Won (University of Bonn, Germany)and Armin Cremers (University of Bonn, Germany)
Copyright: 2008
Pages: 21
Source title: Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
Source Author(s)/Editor(s): Dion Goh (Nanyang Technological University, Singapore)and Schubert Foo (Nanyang Technological University, Singapore)
DOI: 10.4018/978-1-59904-543-6.ch008

Keywords: Information Science Reference / Media & Communications / Social Computing / Social Networking

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Abstract

Social information spaces are characterized by the presence of a social network between participants. This chapter presents methods for utilizing social networks for information retrieval, by applying graph authority measures to the social network. We show how to integrate authority measures in an information retrieval algorithm. In order to determine the suitability of the described algorithms, we examine the structure and statistical properties of social networks, and present examples of social networks as well as evaluation results.

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From PageRank to Social Rank: Authority-Based Retrieval in Social Information Spaces

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