基于数据爬虫与动态社会网络的公众环保行为演化研究  

Research on evolution of public environmental protection behavior based on data crawler and dynamic social network

作　　者：郑君君[1] 程翼 马刚 邵聪[1] ZHENG Junjun;CHENG Yi;MA Gang;SHAO Cong(School of Economics and Management,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学经济与管理学院,武汉430072

出　　处：《系统工程理论与实践》2020年第1期219-229,共11页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(71771181,71371147)。

摘　　要：本文运用数据爬虫技术与社会网络分析方法对一个豆瓣公众环境保护小组的信息交互及相应的动态社会网络演化过程进行刻画,并在基于计划行为理论的绿色出行行为意愿模型的基础上:对嵌入在动态社会网络中的公众环保行为演化规律进行了研究.结果表明:在公众环境保护小组的社会网络形成过程中,社会网络的拓扑结构由最初的小世界网络特征迅速演变成为无标度网络特征;降低社会网络中行为主体的信息交互阈值、公众环保信息的差异程度、行为主体的易受影响程度将有利于公众环保豆瓣小组社会网络中信息的有效传播,行为主体对于公众环保信息的掌握与认知将能演化达到更加理想的状态,也将有利于促进公众环保行为的推广.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.

关 键 词：公众环保行为 动态社会网络 数据爬虫 Hegselmann-Krause模型(HK) 

分 类 号：C934[经济管理—管理学]