A review on graphical evolutionary game for information diffusion on social networks

Author: Benliu Qiu and Ningxuan Zhang
Publisher: International Journal of Crowd Science,

ABOUT BOOK

Purpose With the recent development of science and technology, research on information diffusion has become increasingly important. Design/methodology/approach To analyze the process of information diffusion, researchers have proposed a framework with graphical evolutionary game theory (EGT) according to the theory of biological evolution. Findings Through this method, one can study and even predict information diffusion. Originality/value This paper summarizes three existing works using graphical EGT to discuss how to obtain the static state and the dynamics of information diffusion in social network.

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