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Characterizing User Behavior in Online Social Networks
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Fabrício Benevenuto, Tiago Rodrigues, Meeyoung Cha and Virgílio Almeida

Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved design of content distribution systems. In this paper, we present a first of a kind analysis of user workloads in on- line social networks. Our study is based on detailed click- stream data, collected over a 12-day pe…

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1-14
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