Structure and Reciprocity in Technology-Centered Q&A Communities

Authors

  • Ming Jiang University of Michigan
  • Tao Dong University of Michigan
  • Yung-Ju Chang University of Michigan

Abstract

In this paper we examine the network structure of the MythTV mailing list, an online technology Q&A user community, and we use time-series analysis techniques to study users’ reciprocity behavior in this community. We find that the amount of help users provide is strongly correlated to the amount of help they receive. Further, by conducting the Granger Causality test on the time series data of active users’ activity, we find that the amount of help given is actually the reason why one gets a lot of help. This finding corresponds to the concept of directed reciprocity in social networks and provides insights into social dynamics in technology-centered online communities.

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Published

2021-08-03

How to Cite

Jiang, M., Dong, T., & Chang, Y.-J. (2021). Structure and Reciprocity in Technology-Centered Q&A Communities. Proceedings of the International AAAI Conference on Web and Social Media, 5(1), 526-529. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/14181