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随着学科之间渗透日益扩展,越来越多的机构意识到科研合作对促进科研工作的重要作用,并越来越重视研究合作。通过对机构之间的合作网络进行分析,可以更深层次地理解研究合作的意义,指导合作的方向和方式。运用复杂网络方法以中国管理科学领域机构合作为研究对象,从网络整体属性和个体属性两个层面系统分析机构合作的网络结构,并按照时间段划分分析其演化规律。以遴选的137种管理科学重要期刊(A类期刊和A+期刊)为基础,收集了中国大陆学者2001-2015发表的论文6670篇,作为分析的样本数据。研究结果表明近年来中国管理科学领域机构层面的合作度和合作率总体上变化不大。网络整体属性指标分析结果显示中国管理科学领域的机构合作网络中大部分合作关系很弱,随着网络中结点数量增加,连通子图数量反而减少。核心-边缘分析结果显示香港科研机构在合作网络中起到重要连接作用。微观的中心性指标分析结果表明在三个中心性指标以及发文篇数及被引次数指标下,排序第一的都是中国科学院。程度中心性、中间中心性与接近中心性之间存在着很强的正相关关系,发文篇数和被引次数都和程度中心性、接近中心性、中间中心性有着较强的正相关关系。
As the penetration between disciplines is expanding, more and more institutions are aware of the important role of scientific research cooperation in promoting scientific research and more and more emphasis on research cooperation. By analyzing the cooperation networks among agencies, we can understand the significance of research cooperation in a deeper level and guide the direction and ways of cooperation. Using the complex network approach to take institutional cooperation in management science in China as the research object, this paper systematically analyzes the network structure of institutional cooperation from the overall network attributes and individual attributes, and analyzes the evolution of the network structure according to the time period. Based on the selection of 137 important journals of management science (Category A journals and A journals), 6,670 essays published by Chinese scholars from 2001-2015 are collected as sample data for analysis. The results of the research show that the cooperation and cooperation rates at the institutional level in China’s management science have not changed much in general in recent years. The analysis of the index of the overall network attributes shows that most cooperative relationships in the institutional networks of Chinese management science are weak. As the number of nodes in the network increases, the number of connected subgraphs decreases. The core-fringe analysis shows that research institutes in Hong Kong play an important and connecting role in the cooperative network. The results of microcosmic central indicators analysis show that in the three central indicators, as well as the number of published articles and the number of citations, the first ones are all Chinese Academy of Sciences. There is a strong positive correlation between the degree of centrality, the centrality of the middle and the nearness of the centrality. The number of articles published and the number of quotations cited have a strong positive correlation with the degree of centrality, the nearness of the centrality, and the centrality of the centrality.