Abstract
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.
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Notes
- 1.
The two Twitter bot analyzers follow the same steps, except that Twitter bot 1 takes one more step, which is favoriting the tweets posted by other Twitter users. This is to investigate the effect of favoriting tweets on the number of followers.
- 2.
The two terms, friends and followees, are interchangeable on Twitter. If we follow one user, we can call that user as a friend or followee of our Twitter account.
- 3.
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Chen, J., Hossain, M.S., Brust, M.R., Johnson, N. (2018). A Game Theoretic Analysis of the Twitter Follow-Unfollow Mechanism. In: Bushnell, L., Poovendran, R., BaÅŸar, T. (eds) Decision and Game Theory for Security. GameSec 2018. Lecture Notes in Computer Science(), vol 11199. Springer, Cham. https://doi.org/10.1007/978-3-030-01554-1_15
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