基于社会网络分析的通证知识社区网络特征研究

Characteristics of Token Knowledge Community Network Based on Social Network Analysis

[目的/意义]分析通证知识社区的知识分享网络结构,有助于把握区块链背景下的虚拟社区知识分享和传播规律。[方法/过程]以国内通证知识社区代表——币乎网为研究对象,通过网络爬虫方式获取币乎用户样本数据,采用社会网络分析和内容分析方法,运用UCINET工具对社区用户的知识分享网络进行网络特征分析。[结果/结论]样本网整体呈现出小世界效应和无标度网络特征;中心性高的核心用户对社区知识贡献和传播的影响力较高;通证激励有助于挖掘社区中的优质内容。

[Purpose/significance]The paper intends to analyze the knowledge sharing network structure of the token knowledge community helps to understand the knowledge sharing and dissemination rules of virtual communities in block chain environment.[Method/process]The paper takes a domestic representative token knowledge community called Bihu as the research object obtains the user sample data of Bihu by web crawling adopts social network analysis and content analysis to analyze the characteristics of community users’knowledge sharing network with UCINET tool.[Result/conclusion]The results show that the sample network is a scale-free network with small world effect;core users with high centrality have higher influence on knowledge contribution and dissemination and token incentive helps to discover quality content in the community.