虚拟学术社区知识生态系统的演化及其内部知识流动研究  

The Evolution and Its Internal Knowledge Flow in Virtual Academic Community Knowledge Ecosystem

作　　者：王筱莉[1] 张静 陈淑琴 Wang Xiaoli

机构地区：[1]上海工程技术大学管理学院,上海201620

出　　处：《情报理论与实践》2022年第12期156-163,共8页Information Studies:Theory & Application

基　　金：国家社会科学基金一般项目“大数据背景下辟谣信息生成传播机理与辟谣效果研究”(项目编号:19BGL234);上海社会科学面上项目“大数据时代伪健康信息传播特征及多主体协同干预研究”(项目编号:2020BGL005)的成果。

摘　　要：[目的/意义]探讨虚拟学术社区知识生态系统的演化及其内部知识流动规律可有效促进社区的知识流动及知识资源的充分利用。[方法/过程]首先,基于前人研究,构建虚拟学术社区知识生态系统及其内部知识流动MSEIR模型。其次,基于生命周期理论和DICE模型分析知识生态系统在初步形成阶段、成长阶段、成熟阶段和衰退阶段的演化特征。最后,以丁香园社区为例进行实证分析。[结果/结论]总结虚拟学术社区知识生态系统在形成阶段、成长阶段、成熟阶段和衰退阶段的演化特征,通过社会网络分析方法对丁香园社区知识生态系统节点及其知识流动进行可视化,并验证M-SEIR知识流动模型是可行且有效的。[Purpose/significance]To explore the evolution of knowledge ecosystem and the internal knowledge flow law of virtual academic community can effectively promote the knowledge flow and make full use of knowledge resources in the community.[Method/process]Firstly,based on previous studies,this paper constructs the knowledge ecosystem of virtual academic community and its internal knowledge flow M-SEIR model.Secondly,based on the life cycle theory and DICE model,the evolution characteristics of knowledge ecosystem in the initial formation stage,growth stage,mature stage and decline stage are analyzed.Finally,take Dingxiangyuan community as an example for empirical analysis.[Result/conclusion]The evolution characteristics of the knowledge ecosystem of virtual academic community in the four stages of formation,growth,maturity and decline are summarized.The nodes and knowledge flow of Dingxiangyuan community knowledge ecosystem are visualized by social network analysis method,and the M-SEIR knowledge flow model is verified to be feasible and effective.

关 键 词：知识生态系统 知识流动 M-SEIR模型 知识演化 虚拟学术社区 

分 类 号：G302[文化科学]