@Article{cmc.2020.08619,
AUTHOR = {Guang Sun, Hongzhang Lv, Dianyu Wang, Xiaoping Fan, Yi Zuo, Yanfei Xiao, Xu Liu, Wenqian Xiang, Ziyi Guo},
TITLE = {Visualization Analysis for Business Performance of Chinese Listed  Companies Based on Gephi},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {63},
YEAR = {2020},
NUMBER = {2},
PAGES = {959--977},
URL = {http://www.techscience.com/cmc/v63n2/38554},
ISSN = {1546-2226},
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.},
DOI = {10.32604/cmc.2020.08619}
}