基于引文网络的知识扩散速度测度研究

Study on Measuring Diffusion Speed of Scientific Knowledge Based on Citation Network

知识扩散速度对于知识创新效率有重要影响，在科技领域更是如此。本文分析了知识扩散的过程及知识扩散速度的内涵，以引文网络作为描述知识扩散的机理模型，结合引文自身特性，对引文网络的拓扑参数进行了定义，将引用延时赋值为边权，从而使引文网络变为了时序网络。在此基础上，本文从引文网络的拓扑结构出发，从整体和个体两个角度构建了知识扩散速度的测度指标，并进行了实证研究。结果表明，整体知识扩散速度测度指标可以反映研究主题的发展速度和趋势，个体知识扩散速度测度指标可以反映某篇论文对该研究主题的发展所做出的贡献。本文为客观合理地评价研究主题演化过程以及科学论文的价值提供了新的思路。

Knowledge diffusion speed has important influence to knowledge innovation efficiency, especially in the field of science and technology. This paper analyzes knowledge diffusion process and the connotation of knowledge diffusion speed and uses citation network as a model to describe the mechanism of knowledge diffusion. Combining with the characteristics of citation, the topology parameters of citation network are defined. By assigning citation lag as the weight of edges, the citation network becomes a sequential network. On this basis, this paper embarks from the citation network topology structure, establishes the knowledge diffusion speed measurement index from integral perspective and individual perspective with empirical research. Results show that integral knowledge diffusion speed measurement index can reflect the development speed and tendency of a research topic, while individual knowledge diffusion speed measurement indicator can reflect contribution of a certain paper to the development of the research topic. This paper provides a new train of thought for the objective and reasonable evaluation of a research topic＇s evolution process and a scientific paper＇s value.