基于SNA的手术机器人领域机构合著网络分析
首发时间:2020-06-29
摘要:基于SCIE提供的1998-2019年手术机器人领域文献数据,运用社会网络分析方法对全球手术机器人领域研究机构的合作情况做了分析研究,包括网络密度分析、网络直径分析、聚类系数分析、节点度的分析、小世界特性分析、弱组元分析、k-core分析、中心性分析,研究结果表明,手术机器人领域的机构合著网络机构间的沟通比较顺畅,该网络具备小世界特性,机构之间合作交流比较便利,未来会带来更多的科研产出,美国作为北美的突出代表,在全球也是具有绝对的优势,在机构合著网络中占据主导地位,k-core分析的最核心层机构总数22所,美国独占20所。
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Analysis of cooperation network of surgical robot based on SNA
Abstract:Based on the literature data of surgical robots from 1998 to 2019 provided by SCIE, this paper analyzes the cooperation of research institutions in the field of global surgical robots by using social network analysis methods, including network density analysis, network diameter analysis, clustering coefficient analysis, node degree analysis, small world characteristics analysis, weak component analysis, k-core analysis, and central analysis The results show that the communication between organizations in the field of surgical robots is relatively smooth, the network has the characteristics of small world, the cooperation and communication between organizations is more convenient, and it will bring more scientific research output in the future. As a prominent representative of North America, the United States also has an absolute advantage in the world, plays a leading role in the organization collaboration network, and the core layer of k-core analysis There are 22 institutions in total and 20 in the United States.
Keywords: Scientific Collaboration Surgical Robot Social Network Analysis
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