Herd Behavior Analysis of Online Game Users Based on Information Cascade

Abstract

Because of the popularity of mobile devices and online platforms, online games have become an indispensable pastime for more and more users, which has a great impact on users' information dissemination mode and information sharing mode. Starting with the herding effect in economics and based on the relevant theory of information cascade, this paper analyzes the process of users' participation in online game herd behavior and establishes the herd behavior model of online game users in the way of probability and simulates it with MATLAB. From the perspective of users and information, it is found that the credibility of personal information affects the confidence of users' information judgment, and the credibility of public information affects users' attitudes towards information. The clearer the attitude of previously participated users, the greater the impact on users' behavior, and the more likely herd behavior is to occur.