Research on Optimization of Public Opinion Supervision Model of Social Network Platform Based on Evolutionary Game

Network environments have recently emerged as a considerable research area. In addition to government supervision, platform supervision is also critical improve network environments. So, we should the social platform’s single regulatory model. Against this background, described public opinion game between marketing accounts, netizens, and platform. Unlike previous studies, considered influence of accounts on online opinion. Because players’ bounded rationality, built an evolutionary model, by solving it, obtained evolutionarily stable strategy (ESS). Then, analyzed relevant parameters state. Our results show that if authenticity information not high, publish best choice for account, participate netizen. The penalty account directly related account’s decision making. government, well increase in risk coefficient, considerably affected Finally, put forward “pre-event–in-the-event–post-event” three-stage which provides countermeasures suggestions all parties jointly maintain environment.