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

International Journal of Crowd Science

Ningxuan Zhang^2¹  Benliu Qiu^1² 

[1]School of Information and Communication Engineering, University of Electronic Science and Technology of China , Chengdu, Sichuan Province, China ...Show all authors^2

[2]School of Information and Communication Engineering, University of Electronic Science and Technology of China , Chengdu, Sichuan Province, China^1

关键词: Crowd-sourced design and engineering;    Information diffusion;    Crowdsourced Big Data and analytics;    Evolutionary game;    Models and methods for Crowd Science and Engineering;   

DOI  :  10.1108/IJCS-06-2018-0011

学科分类：工程和技术（综合）

来源: Emerald Publishing

【 摘 要 】

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.

【 授权许可】

CC BY