科研合作网络中知识源中心性对知识扩散效率的影响

Influence of Knowledge Source Centrality on Knowledge Diffusion Efficiency in S&T Collaboration Network

科研合作网络是理论创新和技术创新最基础的扩散途径。以netscience网络的最大联通分支为研究数据集,统计给出基本拓扑特征,在R环境下调用Igraph对知识源在网络不同中心性位置下的知识扩散进行了仿真实验研究。研究得出知识源的位置对知识扩散效率的影响,由此提出从知识源中心性选择来促进知识扩散效率这一新思路,主要结论如下:介数中心的最终知识存量和知识扩散充分程度最高,但度中心的知识时效性更具优势。知识难度越大,不同位置知识源下的知识扩散差异越大,知识源中心性选择对于知识扩散的效率提高越重要。科研合作网络在较大聚集系数和小幂律指数上区别于无标度网络,使其更有利于知识扩散。

Scientific and technical（ ST） collaboration network is the basic diffusion path of theoretical and technological innovation. Using the giant component of netscience network as the dataset,the paper analyzes the statistical characteristics of the network,and simulates the diffusion of knowledge sources at different centralities in R environment by Igraph. It is concluded that position of knowledge source affects the efficiency of knowledge diffusion,which gives a new way to increase knowledge diffusion by choosing the proper centrality as the knowledge source. The knowledge source of betweenness centrality has the highest final knowledge stock and diffusion completeness,while the degree centrality has advantage on timeliness. The more difficult the knowledge is,the more different the knowledge diffusion of different centralities is. So the choose of knowledge source centrality is very important to the efficiency of knowledge diffusion. The ST collaboration network differs from scale free network in smaller distribution index and bigger transitivity,which makes it optimal in knowledge diffusion.