文献类型：期刊文献

英文题名：An evolutionary mechanism of social preference for knowledge sharing in crowdsourcing communities

作者：Meng, Jianfeng[1];Zhang, Gongpeng[2];Li, Zihan[1];Yang, Hongji[3]

第一作者：Meng, Jianfeng

通讯作者：Zhang, GP[1]

机构：[1]Langfang Normal Univ, Sch Management, Langfang, Hebei, Peoples R China;[2]Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China;[3]Univ Leicester, Sch Comp & Math Sci, Leicester, Leics, England

第一机构：Langfang Normal Univ, Sch Management, Langfang, Hebei, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Tourism Coll, Beijing 100101, Peoples R China.|[1141732]北京联合大学旅游学院;[11417]北京联合大学;

年份：2023

卷号：19

期号：3

起止页码：253-269

外文期刊名：MULTIAGENT AND GRID SYSTEMS

收录：EI(收录号：20235215285208);Scopus(收录号：2-s2.0-85180531504);WOS:【ESCI(收录号:WOS:001167546500003)】；

基金：This work was partially supported by the Academic Research Projects of Beijing Union University (No. ZK30202106).

语种：英文

外文关键词：Crowdsourcing community; knowledge sharing; social preference complex network

摘要：Crowdsourcing community, as an important way for enterprises to obtain external public innovative knowledge in the era of the Internet and the rise of users, has a very broad application prospect and research value. However, the influence of social preference is seldom considered in the promotion of knowledge sharing in crowdsourcing communities. Therefore, on the basis of complex network evolutionary game theory and social preference theory, an evolutionary game model of knowledge sharing among crowdsourcing community users based on the characteristics of small world network structure is constructed. Through Matlab programming, the evolution and dynamic equilibrium of knowledge sharing among crowdsourcing community users on this network structure are simulated, and the experimental results without considering social preference and social preference are compared and analysed, and it is found that social preference can significantly promote the evolution of knowledge sharing in crowdsourcing communities. This research expands the research scope of the combination and application of complex network games and other disciplines, enriches the theoretical perspective of knowledge sharing research in crowdsourcing communities, and has a strong guiding significance for promoting knowledge sharing in crowdsourcing communities.