Evolutionary information dynamics over social networks: a review
| Autor: | H. Vicky Zhao, Hangjing Zhang, Yan Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Social network
Process (engineering) business.industry Computer science Information sharing Evolutionary game theory 020206 networking & telecommunications 02 engineering and technology Rumor Data science Dynamics (music) 020204 information systems 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Business Management and Accounting (miscellaneous) Decision Sciences (miscellaneous) Evolutionary information business |
| Zdroj: | International Journal of Crowd Science. 4:45-59 |
| ISSN: | 2398-7294 |
| DOI: | 10.1108/ijcs-09-2019-0026 |
| Popis: | Purpose The purpose of this paper is to have a review on the analysis of information diffusion based on evolutionary game theory. People now get used to interact over social networks, and one of the most important functions of social networks is information sharing. Understanding the mechanisms of the information diffusion over social networks is critical to various applications including online advertisement and rumor control. Design/methodology/approach It has been shown that the graphical evolutionary game theory (EGT) is a very efficient method to study this problem. Findings By applying EGT to information diffusion, the authors could predict every small change in the process, get the detailed dynamics and finally foretell the stable states. Originality/value In this paper, the authors provide a general review on the evolutionary game-theoretic framework for information diffusion over social network by summarizing the results and conclusions of works using graphical EGT. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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