Understanding how retweets influence the behaviors of social networking service users via agent-based simulation

Yizhou Yan, Fujio Toriumi, Toshiharu Sugawara*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The retweet is a characteristic mechanism of several social network services/social media, such as Facebook, Twitter, and Weibo. By retweeting tweet, users can share an article with their friends and followers. However, it is not clear how retweets affect the dominant behaviors of users. Therefore, this study investigates the impact of retweets on the behavior of social media users from the perspective of networked game theory, and how the existence of the retweet mechanism in social media promotes or reduces the willingness of users to post and comment on articles. To address these issues, we propose the retweet reward game model and quote tweet reward game model by adding the retweet and quote tweet mechanisms to a relatively simple social networking service model known as the reward game. Subsequently, we conduct simulation-based experiments to understand the influence of retweets on the user behavior on various networks. It is demonstrated that users will be more willing to post new articles with a retweet mechanism, and quote retweets are more beneficial to users, as users can expect to spread their information and their own comments on already posted articles.

Original languageEnglish
Article number18
JournalComputational Social Networks
Volume8
Issue number1
DOIs
Publication statusPublished - 2021 Dec

Keywords

  • Agent-based simulation
  • Complex network
  • Facebook
  • Meta-norms game
  • Quote tweet
  • Retweet
  • Social media
  • Twitter

ASJC Scopus subject areas

  • Information Systems
  • Modelling and Simulation
  • Human-Computer Interaction
  • Computer Science Applications

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