A Review on Graphical Evolutionary Game for Information Diffusion on Social Networks

Abstract

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.

Benliu Qiu

PhD student

My research interests include continual learning, transfer learning, object detection, multimodality, social network analysis and game theory.