基于ERGM的学科交叉领域知识连接机制实证研究

An Empirical Study on Knowledge Connection Mechanism of Interdisciplinary Field Based on ERGM

[目的/意义]旨在通过探讨学科交叉领域共词网络生成的影响因素及其作用机理,揭示学科交叉领域的微观知识连接机制。[方法/过程]结合网络嵌入性理论,将学科交叉领域关键词共现关系建立的影响因素归纳为网络结构因素(内生变量)和关键词属性因素(外生变量),进而借助指数随机图模型,选择学科交叉领域"医学信息学"开展实证研究。[结果/结论]研究结果表明:网络结构对共现关系生成的影响大于关键词本身属性的影响;择优连接机制和传递性机制具有显著正向作用;关键词节点倾向于与较新节点相连;医学信息学的关键词倾向于与基础学科的关键词建立共现关系,而基础学科的关键词却倾向于与自身学科关键词相连。

[Purpose/significance]The article aims to explore the factors and their mechanisms influencing the generation of co-word network for interdisciplinary field,and to reveal micro-level mechanisms of knowledge connection in interdisciplinary field.[Method/process]Borrowing network embedding theory,the article summarizes the factors into network structure factors(endogenous variables)and keywords'attribute factors(exogenous variables).Exponential random graph model is constructed based on these factors to perform an empirical analysis on the field of Medical Informatics.[Result/conclusion]The results show that the influence of network structure factors on the co-occurrence relationship generation is greater than that of keywords'attributes.Preferential attachment and transitive mechanism have significant positive effect.Keywords tend to be connected with the newer ones.In addition,the keywords of Medical Informatics tend to establish co-occurrence relations with the keywords from basic disciplines,while the keywords from basic disciplines tend to be connected with the keywords in their own disciplines.The conclusions are helpful to understand the formation process of knowledge systems in interdisciplinary fields and the interactions of interdisciplinary knowledge.