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Chapter 7 Network Communities The concept of a community is central to online, as well as offline, social networks. A community is a subset of the users in a social network that is more tightly intercon- nected than the overall network [118]. Communities are interesting for a variety of reasons. For example, users in a community tend to interact frequently, often share interests, and trust each other to some extent. Therefore, communities are useful, for instance, to guide information dissemination and acquisition, to recommend or intro- duce people who would likely benefit from direct interaction, and to express access control policies. Prior works have proposed algorithms for automatically detecting communities in social networks [13,31,58,99,118,131,153]. However, the algorithms have never been tested on real online social networks at scale. In this chapter, we use fine-grained data from a university online social network to study the effectiveness of existing algorithms for detecting communities, and we propose a new algorithm to overcome the observed limitations of existing approaches. Specifically, we make three contributions. First, we collect detailed data about a large university social network and analyze the structure of communities in the network. Our data covers almost 4,000 students and alumni of Rice University taken 123PDF Image | Online Social Networks: Measurement, Analysis, and Applications to Distributed Information Systems
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