科研合作网络中知识源中心性对知识扩散效率的影响

发布时间：2018-04-29 08:55

本文选题：科研合作网络 + 中心性　；参考：《情报理论与实践》2017年05期

【摘要】：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。
[Abstract]:Scientific research cooperation network is the most basic diffusion way of theory innovation and technology innovation. Taking the maximum connection branch of netscience network as the research data set, the basic topological characteristics are statistically given, and the knowledge diffusion of knowledge sources in different central positions of the network is simulated by using Igraph in R environment. The influence of the location of knowledge source on the efficiency of knowledge diffusion is obtained, and a new idea of promoting the efficiency of knowledge diffusion from the perspective of knowledge source-centered selection is put forward. The main conclusions are as follows: the final knowledge stock and the knowledge diffusion adequacy of the intermediate center are the highest, but the knowledge timeliness of the degree center is more advantageous. The greater the difficulty of knowledge, the greater the difference of knowledge diffusion under different location knowledge sources, and the more important is the choice of knowledge source centrality for improving the efficiency of knowledge diffusion. The scientific research cooperative network is different from scale-free network in large aggregation coefficient and power law index, which makes it more favorable to knowledge diffusion.
【作者单位】：武汉科技大学管理学院;
【基金】：教育部人文社会科学规划基金项目“基于MAS模拟的供应链网络信息共享与结构优化互动机制研究”(项目编号:12YJC630266) 湖北省教育厅人文社会科学项目“基于互联网创新扩散的补贴策略研究”(项目编号:17Y021)
【分类号】：G302;O157.5

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