Circadian rhythms of friend-making behavior: An investigation through online gaming community

Ximeng Wang, Cheng Zhang, Chee Wei Phang, Yunjie Xu, Xiaohua Zeng

Research output: Contribution to conferencePaperpeer-review

Abstract

This research investigates the circadian rhythms of friend-making behavior using large-scale data from a social media platform, in particular a popular online gaming community. Enlightened by the notion of human biological clock and afforded by the massive yet fine-grained data, we longitudinally track the daily changes in actual friend-making activities of participants in the community and uncover regularities in this pertinent social behavior. We show that people are most likely to make friends at the night (e.g., 20:00, 0:00) and the least likely to do so in the morning (e.g., 8:00). This pattern was consistently observed after considering the number of available players, the players' game levels, the effect of weekend, and time zones. The systematic variation unveiled in people' friend-making behavior by hour of a day deepens our scientific understanding of this integral social behavior of human everyday life.

Original languageEnglish
Publication statusPublished - 2013
Externally publishedYes
Event17th Pacific Asia Conference on Information Systems, PACIS 2013 - Jeju Island, Korea, Republic of
Duration: 18 Jun 201322 Jun 2013

Conference

Conference17th Pacific Asia Conference on Information Systems, PACIS 2013
Country/TerritoryKorea, Republic of
CityJeju Island
Period18/06/1322/06/13

Keywords

  • Biological clock
  • Circadian rhythms
  • Friend-making
  • Online gaming community
  • Social media

ASJC Scopus subject areas

  • Information Systems

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