Analysis Of Rural Labor Mobility Based On Complex Networks

As a new research method or field of study, the social network analysis, which has been in rapid development in last decades, has been widely applied to sociology, economics, organizational management, anthropology, mass communication, the epidemic prevention and control and many other fields. It is considered an important new ideas and perspectives to analyze and study all kinds of socio-economic image of the social studies from the network perspective. It can be asserted that all social phenomena can be studied more comprehensively, via the method designed to reveal the basic social structure.This paper aims to analyze, from the perspective of the network, the causes and characteristics of various types of phenomena in the course of China's rural labor mobility, and focuses on various types of social support network structure which has impact on labor mobility, and via combination of ideological self-organized criticality to explain and analyze the causes of labor mobility and characteristics. Unlike most of the previous explanation from the economic fluctuations and other external factors such as employment policy, labor mobility theory and methods, this paper analyzes this issue from a network perspective and the perspective of self-organized criticality, and it seeks to highlight the internal factors of the employment group in the course of their employment mobility, and provides a new research perspective of labor movement.This paper, builds several sandpile models based on different network topologies.And the prototype of this models is the cellular automaton technology-based two-dimensional BTW sandpile model. By individually and comparatively comprehensive study of the respective dynamical behavior of these models, several results and conclusion can be obtained. On one hand it reveals self-organization of the dynamics of these models, that is, even if there is only minimal external interference within the system it can spontaneously form a variety of size and intensity of volatility, it also proved that in the sand model the dynamic behavior is sensitive to their network structure, that is, under different network structure, the interaction between individuals behaves in different ways, and thus has an impact on the volatility of the internal behavior of the group.This article tries to apply these conclusions to the issue of the analysis of China's rural labor mobility, and combined with the inherent characteristics of China's migrant workers as well as industry distribution patterns and other factors. It analyzes the main types of possible structure of support network of the employment migrant workers in China, and the causes of China's rural labor force of the high mobility of labor. Hope some conclusions in this paper would provide some theoretical reference for our government and other relevant departments in their formulation of relevant policies and decisions making.