Analysis Of China Growth Enterprise Market Geographic Map And Influence Based On Complex Network

With the rapid development of China's economy,the launch of the Growth Enterprise Market(GEM)as a turning point to further improve the multi-level capital market system has become an important part of economic development.Relative to the high threshold of the motherboard market,the GEM broke the insurmountable rules and barriers on the motherboard market,enriching the financing channels.At the same time,the huge challenge makes the GEM enterprises although their industrial backgrounds and business types are different,but their competition and cooperation have become more and more in-depth and complicated.Therefore,using big data analysis method to study enterprises with core influence in the relationship of GEM and forecasting the most promising high-tech companies can provide rich evidences and innovative suggestions for the investment financing market.This article has the following main work:First of all,the author collected and crawled the corporate annual report information of the listed companies in Shanghai and Shenzhen GEM in the first half of 2017 and the social network information of the shareholders of the enterprise,processed the data for screening and related processing.From the GEM were extracted 512 listed companies,the top ten shareholders of information,a total of industry information,shareholders social networking information.Secondly,based on the data obtained from the preprocessing,this paper uses the complex network theory to analyze and analyze the characteristics of the network structure,and builds three network maps:the complex relationship network of listed companies based on the top ten shareholders,the complex listed compsanies based on the joint-stock industry Relationship network,social complex network based on shareholder information.Based on the constructed three map of nets,using topological theory and statistical methods to analyze the constructed network map,we get the degree distribution and clustering coefficient characteristics of each nematic node,and deduce the key nodes in the network model as well as the relevance of business.Then,we propose the generalized mapping theory and analytic hierarchy process(AHP),and analyze the relationship between the three major networks.The influencing factors in each network are determined qualitatively and quantitatively.Finally,the best influence discriminant method,in order to determine the importance of network nodes that listed companies in the entire network and influence.The results show that the overall structural relationship of GEM is complex,the whole system has obvious small-world effect,and there is a high degree of clustering.The mutual influence of listed companies on each other is very close.The research in this paper can not only provide listed companies in GEM with effective information about the relative position of industry and individual in the whole,but also help enterprises to seek better strategic cooperation in the network map and improve their own competitiveness.In today's rapid economic development,building its own network relations and cooperative competition is more conducive to expanding the space for sustainable development,and promote the GEM listed companies effective and steady development.