2015Indian Journal of Science and TechnologyOpen access

Comparing Analysis Study of Centrality Indices using Paper Information on Secondary Battery

Young-Il Kwon, Dae-Hyun Jeong, Yeong-Ho Moon, Jae-Young Yoo

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Abstract

Background/Objectives: Secondary battery is expanding large secondary battery for various applications. In this study, joint research trends were analysed using network analysis in order to investigate the R&D of secondary batteries. Methods/Statistical Analysis: Degree centrality and betweenness centrality among the network analysis methods, the complex degree centrality was used to analyse the joint research network. Furthermore, the relationships among the degree centrality, betweenness centrality, and complex degree centrality were analysed. The analysis results show that 78 out of 91 countries carried out joint research, with the exclusion of 13 countries that did not participate in international joint research. Results: The joint research between China and USA institutions was most active, and China actively conducted joint research with Asian countries. A cluster analysis of the countries participating in joint research found that there were seven clusters in total, and the USA, Germany, France, and the U.K. played central role in each cluster. A correlation analysis of the centrality indices analysis results by country showed strong positive (+) correlation among the three indices. Furthermore, a regression analysis showed that the greater the complex degree centrality was, the greater the degree centrality and betweenness centrality became, and the increasing rate of the betweenness centrality was very high. Conclusion/Application: This study is meaningful that the correlations between complex degree centrality and other centrality indices were analysed in network analysis and investigated joint research status. Keywords: Centrality Indices, Network Analysis, PFNet, Regression, Secondary Battery

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Background/Objectives: Secondary battery is expanding large secondary battery for various applications. In this study, joint research trends were analysed using network analysis in order to investigate the R&D of secondary batteries. Methods/Statistical Analysis: Degree centrality and betweenness centrality among the network analysis methods, the complex degree centrality was used to analyse the joint research network. Furthermore, the relationships among the degree centrality, betweenness centrality, and complex degree centrality were analysed. The analysis results show that 78 out of 91 countries carried out joint research, with the exclusion of 13 countries that did not participate in international joint research. Results: The joint research between China and USA institutions was most active, and China actively conducted joint research with Asian countries. A cluster analysis of the countries participating in joint research found that there were seven clusters in total, and the USA, Germany, France, and the U.K. played central role in each cluster. A correlation analysis of the centrality indices analysis results by country showed strong positive (+) correlation among the three indices. Furthermore, a regression analysis showed that the greater the complex degree centrality was, the greater the degree centrality and betweenness centrality became, and the increasing rate of the betweenness centrality was very high. Conclusion/Application: This study is meaningful that the correlations between complex degree centrality and other centrality indices were analysed in network analysis and investigated joint research status. Keywords: Centrality Indices, Network Analysis, PFNet, Regression, Secondary Battery

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Available abstract

Background/Objectives: Secondary battery is expanding large secondary battery for various applications. In this study, joint research trends were analysed using network analysis in order to investigate the R&D of secondary batteries. Methods/Statistical Analysis: Degree centrality and betweenness centrality among the network analysis methods, the complex degree centrality was used to analyse the joint research network. Furthermore, the relationships among the degree centrality, betweenness centrality, and complex degree centrality were analysed. The analysis results show that 78 out of 91 countries carried out joint research, with the exclusion of 13 countries that did not participate in international joint research. Results: The joint research between China and USA institutions was most active, and China actively conducted joint research with Asian countries. A cluster analysis of the countries participating in joint research found that there were seven clusters in total, and the USA, Germany, France, and the U.K. played central role in each cluster. A correlation analysis of the centrality indices analysis results by country showed strong positive (+) correlation among the three indices. Furthermore, a regression analysis showed that the greater the complex degree centrality was, the greater the degree centrality and betweenness centrality became, and the increasing rate of the betweenness centrality was very high. Conclusion/Application: This study is meaningful that the correlations between complex degree centrality and other centrality indices were analysed in network analysis and investigated joint research status. Keywords: Centrality Indices, Network Analysis, PFNet, Regression, Secondary Battery

Key concepts: Betweenness centrality, Centrality, Network analysis, China, Cluster (spacecraft), Network theory, Computer science, Statistics

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