Research On The Relationship Between User's Huddling Behavior And Knowledge Contribution In Virtual Knowledge Community Based On Blockchain

At present,the virtual knowledge community has become an important place for people to share knowledge and exchange information.In order to cope with the dilemma faced by traditional virtual knowledge communities,such as low enthusiasm for knowledge sharing,difficulty in monetizing knowledge,and the existence of a large number of “free riders”,the virtual knowledge community based on blockchain reforms the incentive mechanism by adopting blockchain and token economy.It aims to strengthen users' knowledge sharing behavior with tokens.Although some scholars have made a positive prospect on the blockchain virtual knowledge community in promoting content innovation and rumor governance,according to recent research,in the process of article voting in this kind of community,it gradually appears that users conspire with each other or follow others to make decisions for the maximum benefit.Obviously,the user's huddling behavior has deviated from the goal of the blockchain virtual community system design,and its impact on knowledge contribution is not yet clear.Since the level of user's knowledge contribution is related to the long-term development of the community,this article studies the relationship between the user's huddling behavior and knowledge contribution in the virtual knowledge community base on blockchain.Firstly,the paper defines the virtual knowledge community based on the block chain by sorting out the relevant literature on the blockchain technology and application,the token economy and the virtual community,and introduces the research problems of this paper.Secondly,this article analyzes the user classification and incentive mechanism of the virtual knowledge community based on the blockchain,and combine the relevant theories of huddling behavior,taking the Steemit community as an example to define the user huddling behavior as knowledge production huddling behavior and knowledge discovery huddling behavior.Based on this,the network model constructed by two kinds of huddle behavior is analyzed: among them,the preliminary network model of huddling behaviors is modified by the similarity of user knowledge topics;community discovery based on Louvain algorithm and huddling behavior division based on Otsu threshold method to further analyze knowledge discovery Group action.Thirdly,based on the PVAR model,empirical research on the relationship between huddling behavior and knowledge contribution,including impact mechanism analysis,variables construction,user group division and PVAR empirical analysis,in which: the huddling behavior variable is based on the huddling behavior network construction,and the knowledge contribution variables is based on the user Article statistics index and personal knowledge co-occurrence network construction.Finally,combined with the analysis results,it proposes countermeasures and suggestions for this type of community.Through the above research,it is found that:(1)Knowledge production huddling behavior and knowledge discovery huddling behavior are widely existing in the Steemit community.Users who adopt the huddling behavior when voting can obtain higher token income,that is,users have sufficient motivation to conduct huddling behavior in the community voting process.(2)Knowledge discovery huddling behavior is not conducive to the community's knowledge contribution,which is manifested in that knowledge discovery huddling behavior has a significant negative impact on the knowledge quality contribution of knowledge producers and knowledge discoverers,as well as the knowledge innovation contribution of all types of users;(3)the knowledge production huddling behavior has a positive impact on the knowledge contribution under certain circumstances,which is manifested as that the knowledge production huddling behavior has a significant positive impact on the knowledge quality contribution of knowledge producers and the knowledge innovation contribution of knowledge discoverers.(4)Knowledge contribution can have a significant impact on huddling behavior.