Understanding how retweets influence the behaviors of social networking service users via agent-based simulation
Bibliographic Data
| ID | 7520113 |
|---|---|
| Authors | Yan Yi-zhou (corresponding author), Yizhou Yan (Waseda University, corresponding author), Fujio Toriumi (0000-0003-3866-4956, The University of Tokyo), Toshiharu Sugawara (0000-0002-9271-4507, Waseda University) |
| Year | 2021 |
| Volume | 8 |
| Issue | 1 |
| Publication date | 2021-09-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Computational Social Networks (JOURNAL) |
| Journal identifiers | ISSN: 2197-4314 • E-ISSN: 2197-4314 |
| Publisher | Springer Science+Business Media (PUBLISHER • DE) |
| DOI | 10.1186/s40649-021-00099-8 |
| OpenAlex | W3199937943 |
| Language | EN |
| Citations received | 2 |
| References cited | 21 |
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
Advertising · Affect (linguistics · Business · Game theory · Internet privacy · Mechanism (biology · Perspective (graphical · Service (business · Social influence · Social media · Social network (sociolinguistics · World Wide Web · Complex Network Analysis Techniques · Computer Science · Opinion Dynamics and Social Influence · Psychology · Social Psychology · Spam and Phishing Detection · Marketing
| Citations per year | 0.5 |
|---|---|
| Citation span | 2022 - 2024 (3) |
| Highly cited | No |