情报科学 ›› 2023, Vol. 41 ›› Issue (4): 26-34.

• 专题组稿 • 上一篇    下一篇

虚拟知识社区中用户的知识共享策略演变研究——基于无标度网络理论

  

  • 出版日期:2023-05-01 发布日期:2023-05-19

  • Online:2023-05-01 Published:2023-05-19

摘要: 【 目的/意义】虚拟知识社区是知识共享的主要平台,但是虚拟知识社区目前存在用户参与度较低、知识辐
射面较窄等问题。本文通过构建知识共享策略模型,研究不同因素对用户知识共享策略选择的影响,以提高知识
社区用户知识共享水平。【方法/过程】研究主要采用无标度理论与博弈论相结合,通过调整不同因素的初始值分析
在无标度网络上用户间知识共享策略的选择与转变,以此得出影响用户采取不同知识共享策略的主要因素。【结
果/结论】研究发现知识储备能力、知识外化能力、知识共享的收益、知识共享成本等均对用户知识共享策略的选择
产生显著影响。从虚拟知识社区的网络结构来看,网络规模与节点中心度也是影响用户采取不同知识共享策略的
主要因素。【创新/局限】研究采取无标度网络理论与动态博弈论的方法,将复杂网络结构引入知识共享策略的研究
中,有效分析虚拟知识社区中用户之间知识共享策略的多次演变过程,丰富了知识管理领域的研究成果。

Abstract: 【Purpose/significance】Virtual knowledge community is the main platform for knowledge sharing, but at present, virtual
knowledge community has some problems, such as low user participation and narrow knowledge radiation. This paper builds a knowl?
edge sharing strategy model to study the influence of different factors on the choice of users' knowledge sharing strategies, so as to im? prove the knowledge sharing level of users in knowledge community.【Method/process】the research mainly adopts the combination of scale-free theory and game theory, and analyzes the choice and transformation of knowledge sharing strategies among users on scale?free networks by adjusting the initial values of different factors, so as to obtain the main factors affecting users to adopt different knowl? edge sharing strategies.【Result/conclusion】The study found that the ability of knowledge storage, the ability of knowledge externaliza? tion, the benefits of knowledge sharing, and the cost of knowledge sharing all have a significant impact on the choice of users' knowl? edge sharing strategies. From the perspective of the network structure of virtual knowledge community, network size and node central? ity are also the main factors that affect users to adopt different knowledge sharing strategies.【Innovation/limitation】The research adopts the methods of scale-free network theory and dynamic game theory, introduces the complex network structure into the research of knowledge sharing strategy, effectively analyzes the multiple evolution processes of knowledge sharing strategy among users in vir? tual knowledge community, and enriches the research results in the field of knowledge management.