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Online Social Networks (OSNs) have already attracted more than half a billion users. However, the understanding of which OSN features attract and keep the attention of these users is poor. Studies thus far have relied on surveys or interviews of OSN users or focused on static properties, e. g., the friendship graph, gathered via sampled crawls. In this paper, the authors study how users actually interact with OSNs by extracting clickstreams from passively monitored network traffic.
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