2013•Zhonghua yixue keyan guanli zazhiRequires access

Social Network Analysis of the Co-authoring Network in Domestic International Classification of Diseases Field

Xiufang Li, Shaoxia Li, Huihui Zuo, Yujiang Wang, Jiang Ling-yan

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Abstract

Objective The purpose of this article is to analyze the domestic situation of co-authorship in the field of international classification of diseases using Social Network Analysis.Methods Using UCINET to do this research from the following five perspectives,namely density,degree centrality,betweenness centrality,closeness and subgroup analysis.Results The density of co-authoring network is 0.0021.The number of nodes which made up the main component accounts for 3.46% of the total nodes.Lin Jie-zhong possesses the highest value of degree centrality,and Guo Yun-qing's value of betweenness centrality and closeness is the highest.Forty-four 2-plexes are found in all authors.Conclusions Currently,the co-authorship is not close,but to a certain extent,the authors liked Lin Jie-zhong,Liang Yao,Li Jian-wei,Fan Wei,Guo Yun-qing,Liu Ai-min and so on constitute the core members or leaders.From the overall point of view,the authors in this field have not yet formed a subgroup phenomenon obviously.The structure of this co-authoring network is loose and isolated. Key words: Social Network Analysis;  International Classification of Diseases;  Co-authoring Network

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Objective The purpose of this article is to analyze the domestic situation of co-authorship in the field of international classification of diseases using Social Network Analysis.Methods Using UCINET to do this research from the following five perspectives,namely density,degree centrality,betweenness centrality,closeness and subgroup analysis.Results The density of co-authoring network is 0.0021.The number of nodes which made up the main component accounts for 3.46% of the total nodes.Lin Jie-zhong possesses the highest value of degree centrality,and Guo Yun-qing's value of betweenness centrality and closeness is the highest.Forty-four 2-plexes are found in all authors.Conclusions Currently,the co-authorship is not close,but to a certain extent,the authors liked Lin Jie-zhong,Liang Yao,Li Jian-wei,Fan Wei,Guo Yun-qing,Liu Ai-min and so on constitute the core members or leaders.From the overall point of view,the authors in this field have not yet formed a subgroup phenomenon obviously.The structure of this co-authoring network is loose and isolated. Key words: Social Network Analysis;  International Classification of Diseases;  Co-authoring Network

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Available abstract

Objective The purpose of this article is to analyze the domestic situation of co-authorship in the field of international classification of diseases using Social Network Analysis.Methods Using UCINET to do this research from the following five perspectives,namely density,degree centrality,betweenness centrality,closeness and subgroup analysis.Results The density of co-authoring network is 0.0021.The number of nodes which made up the main component accounts for 3.46% of the total nodes.Lin Jie-zhong possesses the highest value of degree centrality,and Guo Yun-qing's value of betweenness centrality and closeness is the highest.Forty-four 2-plexes are found in all authors.Conclusions Currently,the co-authorship is not close,but to a certain extent,the authors liked Lin Jie-zhong,Liang Yao,Li Jian-wei,Fan Wei,Guo Yun-qing,Liu Ai-min and so on constitute the core members or leaders.From the overall point of view,the authors in this field have not yet formed a subgroup phenomenon obviously.The structure of this co-authoring network is loose and isolated. Key words: Social Network Analysis;  International Classification of Diseases;  Co-authoring Network

Key concepts: Betweenness centrality, Centrality, Social network analysis, Closeness, Field (mathematics), Social network (sociolinguistics), Value (mathematics), Network analysis

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