Abstract：This paper describes the information interaction and the corresponding dynamic social network evolution process of a public environmental protection group in Douban by using the network crawler technology and social network analysis method, and on the basis of the green travel behavior willingness model based on the theory of planned behavior, the evolutionary law of public environmental behavior embedded in the dynamic social network is further studied. The results show that in the formation process of social network of public environmental protection group, the topological structure rapidly evolves from small-world network features into scale-free network features; reducing the threshold of information interaction between agents, the difference of public environmental information and the vulnerability of agents in social networks will be conducive to the effective dissemination of information in social networks of public environmental protection Douban groups, the recognition of public environmental protection information by agents will achieve a more ideal state. It will also be conducive to promoting the promotion of public environmental protection behavior.
郑君君, 程翼, 马刚, 邵聪. 基于数据爬虫与动态社会网络的公众环保行为演化研究[J]. 系统工程理论与实践, 2020, 40(1): 219-229.
ZHENG Junjun, CHENG Yi, MA Gang, SHAO Cong. Research on evolution of public environmental protection behavior based on data crawler and dynamic social network. Systems Engineering - Theory & Practice, 2020, 40(1): 219-229.
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2020, Vol. 40 
