Systems Analysis Of The Causes Of Complex Network Affecting The Gap Between The Rich And The Poor In Different Regions Of China

As normal phenomenon, the gap between the rich and the poor usually widens during high-speed increasing period of economy. In the world, the general representation of the gap between the the rich and the poor is Gini Coefficient. The higher the Gini Coefficient is, the bigger the gap is. At present, Gini Coefficient of China exceeds the middle degree of the gap between the rich and the poor, the Gini Coefficient of which is from 0.3 to 0.4, generally accepted by the whole world. In the long run, the widening gap between the rich and the poor cannot but damage the harmonious development of Chinese economy, and is very likely to cause confusion of social order, exclusion of polity and culture exclusion, unbalance of psychology, etc. This damages stabilization of social order, equal participation of socilalist democracy, harmony share of culture, and harmonious social psychology. Whereas, after reviewing the research status quo of the gap between the rich and the poor in different regions of China and based on the complex network theory, through MATLAB emulator and with network scale-free property the thesis systemically analyzed the relevant factors that affect the gap between poor and rich in different regions of China, found out the key factors and established relevant strategy to narrowed the gap between the rich and the poor in different regions of China.The main research achievement and innovation mainly embodies the following aspects.Firstly, from the perspective of innovation, the thesis dynamically analyzed the causes of complex network affecting the gap between the rich and the poor in different regions of China. When composing unit is abstractively considered as node and correlation between units is abstractively considered as margin, any complex system including a large of composing units or subsystems may be researched as complex network, the abstract and description mode of complex system. After the innovation work of Watts and Strogatz on worldlet network, and the innovation work of Barabási and Albert on non-graduation network, people have carried out extensive demonstration research on many practical networks existing different fields, and found that a large of large-scale complex networks had the characteristics of worldlet effect and non-graduation. Based on the entirely new perspective of view of complex network, the thesis grasped the complexity of the problem of the gap between the rich and the poor of China in whole, and factor complex network system, in order to select the all levels'concrete index affecting factors index system through MATLAB emulator and with network scale-free property.Secondly, from the perspective of theory research and demonstration research, the thesis tried to more systemically analyze many factors affecting the gap between the rich and the poor of China. And it further summarizes the cause of formation of the gap between the rich and the poor in different regions, comparative predominance theory and the factors of the gap between the rich and the poor in different regions And it confirmed weighted calculation of every factor applying administrative levels analytical method, and found out the key factors affecting the gap between the rich and the poor of China.Thirdly, from the perspective of demonstration research, the thesis validated the significance of the key factors narrowing the economic gap between the three regions. Considering the rapid development of Chinese economy and avoiding the regions with great economic disparities, the thesis selected Shanghai, the general competitive power of which ranks second in the cities of China, Tianjin (eighth), and Chongqing (25th), located in west of China. Through breadthwise and lengthways comparing and analyzing the relevant data of the three regions in recent three years, the thesis drew the conclusion that was comparatively consistent with the fact. And based on this, it brought forward relevant countermeasure aiming at the key factors affecting the gap between the rich and the poor of China.