Research On Structural Stability And Knowledge Emergence In Domain Knowledge Networks Evolution

In the past two decades,especially the advent of "small world" network and the "scale-free" network which made the network science theory revived.Research based on network analysis method have been applied in many subject areas and have achieved great results.Domain knowledge network is a large-scale network with complex topological structure.It 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.This study adopts the Bibliometrics method,uses the Chinese database “CNKI” and the foreign language database "Web Of Science" and "SCOPUS" to collect,sort and summarize relevant research literature on knowledge network structure and knowledge emergence.With the theory and method of complex networks,this article constructed time-series domain knowledge networks.From the network basic feature indicator measure,macro-structure characteristics,underlying topology and high 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 structure of domain knowledge network become gradually stabilizes in time series;the structure of the“small-world”network is always stable during the development of the knowledge network;The domain 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;High Hub node members are more stable and emerge as domain core knowledge during the mature stage of the network.