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Understanding Online Social Network Usage from a Network Perspective
Citation key SFKW-UOSNUNP-09
Author Schneider, Fabian and Feldmann, Anja and Krishnamurthy, Balachander and Willinger, Walter
Title of Book IMC '09: Proceedings of the 2009 Internet Measurement Conference
Pages 35–48
Year 2009
ISBN 978-1-60558-770-7
DOI http://dx.doi.org/10.1145/1644893.1644899
Location Chicago, IL
Address New York, NY, USA
Month November
Publisher ACM Press
Abstract Online Social Networks (OSNs) have already attracted more than half a billion users. However, our 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, we study how users actually interact with OSNs by extracting clickstreams from passively monitored network traffic. Our characterization of user interactions within the OSN for four different OSNs (Facebook, LinkedIn, Hi5, and StudiVZ) focuses on feature popularity, session characteristics, and the dynamics within OSN sessions. We find, for example, that users commonly spend more than half an hour interacting with the OSNs while the byte contributions per OSN session are relatively small.
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