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 language | English |
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| Title of host publication | Proceedings - Pacific Asia Conference on Information Systems, PACIS 2013 |
| Publisher | Pacific Asia Conference on Information Systems |
| Publication status | Published - 2013 |
| Event | 17th Pacific Asia Conference on Information Systems (PACIS 2013): Smart, Open and Social Information Systems - Jeju Island, Korea, Republic of Duration: 18 Jun 2013 → 22 Jun 2013 http://aisel.aisnet.org/pacis2013/ (unknown) |
Conference
| Conference | 17th Pacific Asia Conference on Information Systems (PACIS 2013) |
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| Place | Korea, Republic of |
| City | Jeju Island |
| Period | 18/06/13 → 22/06/13 |
| Internet address |
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Research Keywords
- Biological clock
- Circadian rhythms
- Friend-making
- Online gaming community
- Social media
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