Reference : A Game Theoretic Analysis of the Twitter Follow-Unfollow Mechanism
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Multidisciplinary, general & others
Computational Sciences
http://hdl.handle.net/10993/38696
A Game Theoretic Analysis of the Twitter Follow-Unfollow Mechanism
English
Chen, Jundong [> >]
Hossain, Md Shafaeat [> >]
Brust, Matthias R. mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Johnson, Naomi [> >]
2018
International Conference on Decision and Game Theory for Security
Yes
International Conference on Decision and Game Theory for Security
2018
Springer
[en] Social Network ; Game Theory ; Machine Learning
[en] Twitter users often crave more followers to increase their social popularity. While a variety of factors have been shown to attract the followers, very little work has been done to analyze the mechanism how Twitter users follow or unfollow each other. In this paper, we apply game theory to modeling the follow-unfollow mechanism on Twitter. We first present a two-player game which is based on the Prisoner’s Dilemma, and subsequently evaluate the payoffs when the two players adopt different strategies. To allow two players to play multiple rounds of the game, we propose a multi-stage game model. We design a Twitter bot analyzer which follows or unfollows other Twitter users by adopting the strategies from the multi-stage game. We develop an algorithm which enables the Twitter bot analyzer to automatically collect and analyze the data. The results from analyzing the data collected in our experiment show that the follow-back ratios for both of the Twitter bots are very low, which are 0.76% and 0.86%. This means that most of the Twitter users do not cooperate and only want to be followed instead of following others. Our results also exhibit the effect of different strategies on the follow-back followers and on the non-following followers as well.
http://hdl.handle.net/10993/38696
10.1007/978-3-030-01554-1_15

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