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

Young-Il Kwon; Dae-Hyun Jeong; Yeongho Moon; Jae-Young Yoo

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

机译：利用二次电池纸质信息对中心度指标进行比较分析研究

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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.

机译：背景/目的：二次电池正在将大型二次电池扩展到各种应用中。在这项研究中，使用网络分析法分析了联合研究趋势，以研究二次电池的研发。方法/统计分析：网络分析方法中的度中心度和中间度中心度，使用复杂度中心度分析联合研究网络。此外，分析了度中心性，中间性中心和复杂度中心之间的关系。分析结果表明，在91个国家中有78个进行了联合研究，其中13个未参加国际联合研究的国家被排除在外。结果：中美机构之间的联合研究最为活跃，中国也积极与亚洲国家进行了联合研究。对参与联合研究的国家进行的聚类分析发现，总共有七个聚类，美国，德国，法国和英国在每个聚类中都发挥着核心作用。国家对中心指数分析结果的相关分析表明，三个指数之间存在强正相关。此外，回归分析表明，复杂度中心度越大，度中心度和中间度中心度就越大，中间度中心度的增长速度非常高。结论/应用：这项有意义的研究是在网络分析中分析复杂度中心性与其他中心性指标之间的相关性，并研究联合研究现状。

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《Indian Journal of Science and Technology》 |2015年第s1期|共7页
作者
Young-Il Kwon; Dae-Hyun Jeong; Yeongho Moon; Jae-Young Yoo;
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Comparing Analysis Study of Centrality Indices using Paper Information on Secondary Battery

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