Evolution of Cooperation in SNS-norms Game on Complex Networks and Real Social Networks
Social networking services (SNSs) such as Facebook and Google+ are indispensable social media for a variety of social communications, but we do not yet fully understand whether these currently popular social media will remain in the future. A number of studies have attempted to understand the mechanisms that keep social media thriving by using ameta-rewards game that is the dual formof a public goods game. However, the meta-rewards game does not take into account the unique characteristics of current SNSs. Hence, in this work we propose an SNS-norms game that is an extension of Axelrod’s metanorms game, similar to meta-rewards games, but that considers the cost of commenting on an article and who is most likely to respond to it. We then experimentally investigated the conditions for a cooperation-dominant situation in which many users continuing to post articles. Our results indicate that relatively large rewards compared to the cost of posting articles and comments are required, but optional responses with lower cost, such as “Like!” buttons, play an important role in cooperation dominance. This phenomenon is of interest because it is quite different from those shown in previous studies using meta-rewards games.
KeywordsSNS Agent-based simulation Facebook Metanorms game
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- 3.Ghanem, A.G., Vedanarayanan, S., Minai, A.A.: Agents of Influence in Social Networks. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2012, vol. 1, pp. 551–558 (2012)Google Scholar
- 4.Gonzalez, R., Cuevas, R., Motamedi, R., Rejaie, R., Cuevas, A.: Google+ or Google–?: Dissecting the Evolution of the New OSN in its First Year. In: Proceedings of the 22nd International Conference on World Wide Web, WWW 2013, pp. 483–494 (2013)Google Scholar
- 5.Hirahara, Y., Toriumi, F., Sugawara, T.: Evolution of Cooperation in Meta-Rewards Games on Networks of WS and BA Models. In: Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), WI-IAT 2013 - Volume 03, vol. 3, pp. 126–130. IEEE Computer Society (2013)Google Scholar
- 6.LINE, http://line.me/
- 7.Myers, S.A., Leskovec, J.: The Bursty Dynamics of the Twitter Information Network. In: Proceedings of the 23rd International Conference on World Wide Web, WWW 2014, pp. 913–924 (2014)Google Scholar
- 8.Stanford Large Network Dataset Collection, http://snap.stanford.edu/data/
- 10.Toriumi, F., Yamamoto, H., Okada, I.: Why Do People Use Social Media? Agent-Based Simulation and Population Dynamics Analysis of the Evolution of Cooperation in Social Media. In: Proceedings of the 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology, WI-IAT 2012, vol. 2, pp. 43–50. IEEE Computer Society (2012)Google Scholar
- 11.Vázquez, A.: Growing network with local rules: Preferential Attachment, Clustering Hierarchy, and Degree Correlations. Phys. Rev. E 67, 056104 (2003)Google Scholar