When conducting company performance evaluations,the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market.Gephi is an efficient tool ...When conducting company performance evaluations,the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market.Gephi is an efficient tool for data analysis and visualization in the era of big data.It can convert the evaluation results of all listed companies into nodes and edges,and directly display them in the form of graphs,thus making up for the defects of traditional methods.This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object.First uses tushare and web crawlers to collect the financial statement data of these companies.And then,uses the Economic Value Added model to calculate the EVA of each listed company and build graph data.Next,import the graph data into gephi to generate the distribution graph of all listed companies’performance,and summarize the distribution characteristics of business performance.Finally,select a listed company that you want to analyze in detail,using the traditional DuPont analysis method to conduct micro level visualization analysis of the business performance to find the main factors affecting the company’s operating performance.Incorporating gephi into traditional performance analysis methods will make the results of traditional analytical methods more effective and complete.展开更多
目的对法医人类学遗骸识别研究领域的文献进行计量学分析,描述当前的研究现状并预测未来的研究热点。方法基于Web of Science信息服务平台(以下简称“WoS”)中核心数据库(Web of Science Core Collection,WoSCC)检索和提取的数据,分析1...目的对法医人类学遗骸识别研究领域的文献进行计量学分析,描述当前的研究现状并预测未来的研究热点。方法基于Web of Science信息服务平台(以下简称“WoS”)中核心数据库(Web of Science Core Collection,WoSCC)检索和提取的数据,分析1991—2022年遗骸识别研究的发展趋势和主题变化。运用python3.9.2和Gephi0.10对法医人类学遗骸识别相关研究的发文趋势、国家(地区)、机构、作者和主题进行网络可视化分析。结果获得法医人类学遗骸识别相关英文文献873篇。发表文献数量最多的期刊是Forensic Science International(164篇),发文最多的国家(地区)是中国(90篇),Katholieke Univ Leuven(荷兰,21篇)是发表英文文献最多的机构。主题分析结果显示,人类遗骸研究的热点是遗骸的性别鉴定和年龄推断,并且常用的遗骸是牙齿。结论法医人类学遗骸识别研究领域的发文量具有明显的阶段性,然而,国际合作与国内合作的范围尚显局限。传统的遗骸识别主要依赖于骨盆、颅骨和牙齿等关键部位。未来的研究热点将聚焦于利用机器学习和深度学习技术,对多种骨骼遗骸进行更为精准和高效的鉴定。展开更多
本文对碳捕集利用与封存(carbon capture,utilization and storage,CCUS)专利进行多粒度研究,揭示其发展概况与关键技术发展态势,为CCUS发展部署提供决策支撑。首先,运用专利计量法从时间、地域等方面进行粗粒度分析,解析CCUS发展趋势...本文对碳捕集利用与封存(carbon capture,utilization and storage,CCUS)专利进行多粒度研究,揭示其发展概况与关键技术发展态势,为CCUS发展部署提供决策支撑。首先,运用专利计量法从时间、地域等方面进行粗粒度分析,解析CCUS发展趋势、技术流动,挖掘技术热点和典型机构。其次,提出关键词抽取与分级合作关系网挖掘方法,获取共词网络与发明人分级合作关系网络。最后,利用Neo4j、Gephi实现CCUS关键技术的细粒度分析与可视化展示。以Innography收录的CCUS专利文献作为数据源,分析发现CCUS技术正处于交错发展期,中美是CCUS技术的领跑者;气体或蒸汽的分离等是CCUS最关键的前沿性技术;CCUS技术的研究机构及发明人呈现出聚集的发展态势。根据分析结果,为CCUS技术发展的战略布局提出建议。展开更多
基金This research is funded by the National Social Science Fund Project,grant number 14BJL086.This research is funded by the Open Foundation for the University Innovation Platform in the Hunan Province,grant number 18K103Hunan Provincial Natural Science Foundation of China,grant number 2017JJ2016+2 种基金Accurate crawler design and implementation with a data cleaning function,National Students innovation and entrepreneurship of training program,grant number 201811532010This research work is implemented at the 2011 Collaborative Innovation Center for Development and Utilization of Finance and Economics Big Data Property,Universities of Hunan Province.Open project,grant number 20181901CRP03,20181901CRP04,20181901CRP05National Social Science Fund Project:Research on the Impact Mechanism of China’s Capital Space Flow on Regional Economic Development(Project No.14BJL086)。
文摘When conducting company performance evaluations,the traditional method cannot reflect the distribution characteristics of the company’s operating conditions in the entire securities market.Gephi is an efficient tool for data analysis and visualization in the era of big data.It can convert the evaluation results of all listed companies into nodes and edges,and directly display them in the form of graphs,thus making up for the defects of traditional methods.This paper will take all the listed companies in the Shanghai and Shenzhen Stock Exchange as the analysis object.First uses tushare and web crawlers to collect the financial statement data of these companies.And then,uses the Economic Value Added model to calculate the EVA of each listed company and build graph data.Next,import the graph data into gephi to generate the distribution graph of all listed companies’performance,and summarize the distribution characteristics of business performance.Finally,select a listed company that you want to analyze in detail,using the traditional DuPont analysis method to conduct micro level visualization analysis of the business performance to find the main factors affecting the company’s operating performance.Incorporating gephi into traditional performance analysis methods will make the results of traditional analytical methods more effective and complete.
文摘本文对碳捕集利用与封存(carbon capture,utilization and storage,CCUS)专利进行多粒度研究,揭示其发展概况与关键技术发展态势,为CCUS发展部署提供决策支撑。首先,运用专利计量法从时间、地域等方面进行粗粒度分析,解析CCUS发展趋势、技术流动,挖掘技术热点和典型机构。其次,提出关键词抽取与分级合作关系网挖掘方法,获取共词网络与发明人分级合作关系网络。最后,利用Neo4j、Gephi实现CCUS关键技术的细粒度分析与可视化展示。以Innography收录的CCUS专利文献作为数据源,分析发现CCUS技术正处于交错发展期,中美是CCUS技术的领跑者;气体或蒸汽的分离等是CCUS最关键的前沿性技术;CCUS技术的研究机构及发明人呈现出聚集的发展态势。根据分析结果,为CCUS技术发展的战略布局提出建议。
