Research On Investment Network Model With Robbery And Its Robustness

From the end of last century to the second decade of the 21 st century,the development of science and technology has greatly promoted the process of the human.Among them,the development of Internet technology has enjoyed unprecedented prosperity.Our current era is precisely the era of "Internet +".The profound integration of industries such as education,agriculture,commerce and finance with the Internet has brought a remarkable leap forward in the productivity of all walks of life.In recent years,the dual high-speed development of Internet technology and economy has given birth to the emerging of equity venture capital platform.Investors can choose the project through the platform to obtain the equity and further gain the project profit-sharing dividends.In this process there are still many problems,such as non-dividend,non-continuous dividend and other issues,seriously hindered the healthy development of such platforms and even the entire Internet finance industry.How to make this kind of platform operate better to avoid the collapse of the platform to the loss of the interests of investors,and to play its unique advantages for the benefit of market and economic development,which was the problem that many scholars studying hard to solve.In this paper,the equity venture capital platform has been studied by using the "model method",which is often applied by Internet finance researchers in recent years.In the past,due to the difficulty of obtaining long-term transaction data of the equity venture capital platform and it is difficult to analyze the relationship among investors,investment behavior,financing behavior and market factors with high complexity.Therefore,in order to solve the above problems,this paper first obtains some true transaction data of some equity venture capital platforms such as "Yuanshihui",classifies and integrates these data,and obtains the type and scope of data that needs to be generated programmatically.Next,choose the suitable complex network model—small-world network and random network to simulate the financing,investment,and dividends on the equity venture capital platform.In particular,a small-world network with investors as a node is used to simulate the acquaintance relations among investors;and the stochastic network with financing project as the node and the cross-border of the investor's small-world network to simulate the investment behavior and financing behavior of the stochastic network.In addition,various factors affecting the dividends were introduced.Learning algorithms were used to simulate the decision-making behaviors of investment and follow-up among investors.The network node and edge adjustment methods were provided corresponding to actual investment behaviors.Finally,the model of the equity venture capital platform was successfully constructed.This paper uses the above model to carry out simulation experiments,and explores the impact of the two factors of bankruptcy rate and fraud rate on the investment network's robustness,the impact of bankruptcy rate on average yield,and the impact of the network's average path length and aggregation coefficient on the average return of the investment network.The study found that the fraud rate and bankruptcy rate exceeded a certain threshold will lead to network collapse.The bankruptcy rate has a great influence on the income of the platform.The risk premium exists,and the average return is better under a certain range of bankruptcy risk.The structure of the investor relationship network has no effect on the income of the investment model,the "herd effect" cannot avoid the impact of market factors on the platform.Through the above experiments,this paper has drawn some research ideas and conclusions on dividends and platform profitability.At the same time,the regulative strategies concerning the practical problems mentioned above are given.