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

Yizhou Yan, Fujio Toriumi, Toshiharu Sugawara*

*この研究の対応する著者

研究成果: Article査読

抄録

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.

本文言語English
論文番号18
ジャーナルComputational Social Networks
8
1
DOI
出版ステータスPublished - 2021 12

ASJC Scopus subject areas

  • 情報システム
  • モデリングとシミュレーション
  • 人間とコンピュータの相互作用
  • コンピュータ サイエンスの応用

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