Abstract

In this study, an evolutionary game model of the collaboration between the government and network knowledge community investors is constructed to address the problems of insufficient scale development of the network knowledge community and inconsistent internal mechanism. This model assists in determining the most appropriate internal mechanism for the development of the network knowledge community. The evolutionary game model, based on the system dynamic model fitting analysis, showed that the government and investors adopting positive strategy at the same time is for the optimal strategy. Promoting the network knowledge community construction is the key to improve the initial probability of both sides to take the active strategy, reducing the threshold of evolution.

Highlights

  • Fei Xiaotong first defined community as a “社区” in the early 1930s, and this definition has been used by scholars to this day in China

  • A game based on the system dynamics and evolution using the Vensim DSS simulation software is built from the perspective of economic analysis

  • Network knowledge community construction requires the collaboration of multiple parties and continuous investment in human, economic, and technical sectors, which is a long-term decision-making process. is research can promote the possibility and necessity of building a network knowledge community

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Summary

Introduction

Fei Xiaotong first defined community as a “社区” in the early 1930s, and this definition has been used by scholars to this day in China. In 2007, Wang elaborated the principle of the open network knowledge community of library 2.0 and its function realization [1]. Chen Hongqin further defined the knowledge dissemination mechanism of the library network knowledge community as knowledge construction, knowledge transfer and sharing, knowledge innovation, and knowledge service mechanism [2]. From the network knowledge community, Chen built a three-dimensional structure based on the network knowledge community user behaviour initiation model [3]. Some international literature studies wrote that the Wikipedia was one of the largest and best-known network knowledge communities. More literature studies use virtual communities to replace the concept of networked knowledge communities. Virtual communities (VCs) bring together geographically dispersed, like-minded people to form a network for knowledge exchange. The average amount of published papers is about 260. e research mainly focuses on the internal mechanism of the community, but there is little research on the simulation model of the possibility of community construction

Mathematical Problems in Engineering
Government average expected return is
Game players
Government encouraging β
Conclusion
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