Influence of Retweeting on the Behaviors of Social Networking Service Users

Yi-zhou, Yan; Toriumi, Fujio; Sugawara, Toshiharu

doi:10.1007/978-3-030-65347-7_56

Cited by 3 publications

(1 citation statement)

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“…We experimentally investigated the impact of retweets and quote tweets on communication among users by varying the values of the variables that limit the diffusion of retweeted information. Although we previously reported the results of an extended reward game, known as the RT reward game, by introducing only the retweeting mechanism to reveal the effect of retweets on user behavior [13], we further extended the RT reward game by adding the quote tweet mechanism. This extension enables us to understand the effect of different types of retweet mechanisms on user behaviors by comparing the results derived from the mechanisms of retweets with and without quote tweets.…”

Section: Introductionmentioning

confidence: 99%

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

2021

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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.

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Section: Introductionmentioning

confidence: 99%