Open Access
ARTICLE
Visualization Analysis for Business Performance of Chinese Listed Companies Based on Gephi
Guang Sun1, Hongzhang Lv1, *, Dianyu Wang2, Xiaoping Fan1, 3, Yi Zuo1, Yanfei Xiao4, Xu Liu1, Wenqian Xiang1, Ziyi Guo1
1 Institute of Big Data, Hunan University of Finance and Economics, Changsha, 410205, China.
2 Housheng School of International Education, Hunan University of Finance and Economics, Changsha, 410205, China.
3 School of Information Science and Engineering, Central South University, Changsha, 410075, China.
4 School of Finance and Economics, Hunan University of Finance and Economics, Changsha, 410205, China.
* Corresponding Author: Hongzhang Lv. Email: .
Computers, Materials & Continua 2020, 63(2), 959-977. https://doi.org/10.32604/cmc.2020.08619
Received 16 September 2019; Accepted 18 November 2019; Issue published 01 May 2020
Abstract
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.
Keywords
Cite This Article
G. Sun, H. Lv, D. Wang, X. Fan, Y. Zuo
et al., "Visualization analysis for business performance of chinese listed companies based on gephi,"
Computers, Materials & Continua, vol. 63, no.2, pp. 959–977, 2020. https://doi.org/10.32604/cmc.2020.08619