Birds of a schedule flock together: Social networks, peer influence, and digital activity cycles

Hai Liang, Fei Shen*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

25 Citations (Scopus)

Abstract

The use of social media such as Twitter has changed our life routines. Previous studies have found consistent diurnal patterns of user activities on social media platforms. However, the temporal organization of human behavior is partly socially constructed and is determined by numerous factors other than the diurnal cycle. The current study argues that peer influence incurred by social networks is one of these potential factors. To test our hypotheses, we collected a random sample of active Twitter users (N = 5066), their followers and followees (N = 424,984), and all available tweets posted by these users. Results suggest that the temporal patterns between self-posting and interaction behavior differ across individuals. Users’ daily activity rhythms are more similar to their followees’ rhythms than to their followers’ rhythms. Despite the fact that the self-selection mechanism (homophily) cannot be ignored, peer influence seems to be an equally likely mechanism explaining such similarity.
Original languageEnglish
Pages (from-to)167-176
JournalComputers in Human Behavior
Volume82
Online published16 Jan 2018
DOIs
Publication statusPublished - May 2018

Research Keywords

  • Homophily
  • Peer influence
  • Social media
  • Social network

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