Activity Lifespan: An Analysis of User Survival Patterns in Online Knowledge Sharing Communities

Authors

  • Jiang Yang University of Michigan
  • Xiao Wei University of Michigan
  • Mark Ackerman University of Michigan
  • Lada Adamic University of Michigan

Keywords:

Q&A site, Survival Analysis, Social Computing

Abstract

Retaining participation is crucial for information services, online knowledge sharing services among them. We present the first comprehensive analysis of users’ activity lifespan across three predominant online knowledge-sharing communities. Extending previous work focusing on initial interactions of new users, we use survival analysis to quantify participation patterns that can be used to predict individual lifespan over the long term. We discuss how cross-site differences in user participation and the underlying factors can be related to differences in system design and culture. We conduct a longitudinal comparison of the communities’ evolvement between two distinct stages, the initial days just after the site launch and one year later. We also observe that sub-communities corresponding to different topics differ in their ability to sustain users. All results reveal the complexity and diversity in users’ engagement to a site and design implications are discussed.

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Published

2010-05-16

How to Cite

Yang, J., Wei, X., Ackerman, M., & Adamic, L. (2010). Activity Lifespan: An Analysis of User Survival Patterns in Online Knowledge Sharing Communities. Proceedings of the International AAAI Conference on Web and Social Media, 4(1), 186-193. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14010