Abstract: With the development of blockchain technology, blockchain token incentive is changing the online community knowledge sharing ecological chain through its characteristics of sharing and autonomy. In order to study the incentive effect of token on community knowledge sharing, this paper takes the late-model knowledge community based on blockchain token incentive as the research object from the perspective of system theory, and constructs the system dynamics model of late-model community knowledge sharing token incentive from three parts: user subsystem, knowledge subsystem and token subsystem. The simulation and sensitivity analysis of Steemit community are carried out by using Vensim PLE software. The results show that the model constructed in this paper has a good simulation effect on the impact of token incentive on user knowledge sharing in the late-model community, and the overall quality of user knowledge sharing shows an increasing trend. The change of parameters in token incentive rules has a significant impact on community knowledge sharing. The research results have reference significance for the knowledge management and community governance of late-model communities, and help to promote the emergence and innovation of high-quality knowledge in communities.

Key words: new-type knowledge community, blockchain, knowledge sharing, token incentive mechanism, system dynamics