document: Analyzing patterns of user content generation in online social networks Various online social networks ( OSNs ) have been developed rapidly on the Internet . Researchers have analyzed different properties of such OSNs , mainly focusing on the formation and evolution of the networks as well as the information propagation over the networks . In knowledge-sharing OSNs , such as blogs and question answering systems , issues on how users participate in the network and how users `` generate\/contribute '' knowledge are vital to the sustained and healthy growth of the networks . However , related discussions have not been reported in the research literature . In this work , we empirically study workloads from three popular knowledge-sharing OSNs , including a blog system , a social bookmark sharing network , and a question answering social network to examine these properties . Our analysis consistently shows that ( 1 ) users ' posting behavior in these networks exhibits strong daily and weekly patterns , but the user active time in these OSNs does not follow exponential distributions ; ( 2 ) the user posting behavior in these OSNs follows stretched exponential distributions instead of power-law distributions , indicating the influence of a small number of core users can not dominate the network ; ( 3 ) the distributions of user contributions on high-quality and effort-consuming contents in these OSNs have smaller stretch factors for the stretched exponential distribution . Our study provides insights into user activity patterns and lays out an analytical foundation for further understanding various properties of these OSNs .
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