摘要
提出了一种基于知识网络和社会网络加权的大学学科团队网络结构表示方法,这种方法以学科团队成员的科研合作论文作为样本,根据科研合作论文所形成的知识网络和社会网络关联,构建大学学科的团队网络。在此基础上,分别从学科团队关系数与关系密度、鏃系数与特征路径长度对大学学科团队的基本特征进行表示与度量,从个体中心性、中间中心性、接近中心性、特征向量中心性和结构关联度对大学学科团队成员的结构性特征进行表示与度量。最后,在一个真实大学学科中构建了学科团队网络,并进行了度量和分析,验证了本文提出方法的有效性。
Incorporating weights of knowledge network and society network,an approach to represent university disciplinary team network is proposed.This proposal,taking cooperated papers of disciplinary team members ’ as an example,builds team network according to correlation of resulted knowledge and society network.Based on this network,basic team characteristics are represented by their number and density of relationship,coefficient and length of specific path.And team′s structure features are measured by individual central,middle central,close to the central,eigenvector centrality and structural correlation.Finally,the validity of this work is testified by practical disciplinary team.
出处
《高等工程教育研究》
CSSCI
北大核心
2012年第6期120-124,共5页
Research in Higher Education of Engineering
基金
教育部人文社会科学研究青年基金项目(11YJCZH065)