知识网络演化中的结构稳定性与知识涌现

Structural Stability and Knowledge Emergence in Knowledge Networks Evolution

知识网络凭借其呈现与揭示知识关联关系的优势已经广泛应用于图书情报学的众多领域,知识网络动态演化过程中的模式与规律更成为图书情报学界关注的重点。文章借助复杂网络理论与方法,构建了时间序列领域知识网络。从网络宏观结构特征、底层拓扑结构和Hub节点涌现三个方面,对知识网络演化过程中的结构稳定性与知识涌现问题进行动态分析。研究结果显示,知识网络演化进入相对成熟阶段后才表现出稳定的无标度网络特征;底层区块与网络节点规模在成熟阶段拟合效果更好且区块子图浓度稳定;Hub节点成员在网络成熟阶段更加稳定并涌现为领域核心知识。

Knowledge network has been widely used in many fields of library and information science because of its advantages of presenting and revealing knowledge correlations.The patterns and laws in the process of dynamic evolution of knowledge networks have become the focus of library and information science academic community.With the theory and method of complex networks,this article constructed time-series domain knowledge networks.From the network macro-structure characteristics,underlying topology and hub nodes,the dynamic analysis of the structural stability and knowledge emergence in the process of knowledge network evolution is carried out.The results show that the knowledge networks exhibit a stable scale-free network feature,when the networks evolve into maturity;Underlying blocks and network node scale have better fitting effect at the maturity stage and the block subgraph concentration is stable;Hub node members are more stable and emerge as domain core knowledge during the mature stage of the network.