基于K-核的科研合作网络凝聚性特征分析  

Analysis of cohesive characteristics in scientific collaboration networks based on K-core

作　　者：张美书[1] 葛世伦[1] 贾昱[1] 王念新[1] ZHANG Meishu;GE Shilun;JIA Yu;WANG Nianxin(School of Economics and Management,Jiangsu University of Science and Technology,Zhenjiang 212003,China)

机构地区：[1]江苏科技大学经济管理学院,镇江212003

出　　处：《系统工程理论与实践》2020年第7期1821-1831,共11页Systems Engineering-Theory & Practice

基　　金：江苏省哲学社会科学项目(14GLD009);国家自然科学基金(71972090,71971101,71871108)。

摘　　要：科学分析科研合作网络潜在的凝聚性特征,是培育与建设稳定的高水平科技创新团队的首要条件.K-核分析方法是研究社会网络层次结构,探究网络子群团聚度的有效方法.本文以某省属普通高校为例,基于CNKI的四大类来源期刊及SIPO发明专利数据,构建基于论文共发表和专利共发明的科研合作网络,然后引入K-核模型分析方法,对网络的凝聚性特征进行分析.研究结果表明:科研合作网络节点的团聚度呈现Piossion分布特征;核心成员规模分布在4左右的团体合作最多;跨学科合作主要分布在网络的边缘区域,而核心区域的跨学科合作则比较罕见;位于网络核心区域的节点主要为应用工程类学科的成员.通过该方法分析科研合作网络的凝聚性特征,能够为组织遴选和培育稳定的高水平科研核心团队提供帮助与指导.Analyzing the potential cohesive characteristics of a scientific collaboration network by K-core analysis,which is an effective way to study the topological structure and clustering degree of the nodes in a social network.Currently,we used the K-core to study the scientific collaboration network of a provincial university.Data of co-publication and co-invention relationship as defining the network were extracted from the source journals of SCI,EI,CSSCI and core journals of the CNKI and SIPO.We found that the clustering degree of the nodes presented a Poisson distribution and that the majority of networks were groups with about 4 core members.In addition,interdisciplinary collaboration was mainly distributed in marginal regions of the network,but it was relatively rare in core regions.Furthermore,nodes located in the core area of the network were all members in the field of applied engineering research.Thus,the analysis of cohesive characteristics of scientific collaboration network through the K-core model can help to provide a useful guidance for universities to select and cultivate stable high-level scientific research core teams.

关 键 词：科研合作网络 K-核分解 核塌缩序列 凝聚性 

分 类 号：G301[文化科学]