arXiv subjects

Zengru Di

Publications and source records attributed to Zengru Di.

93 records · Page 6Linked to original sources

arXiv2004

Network of Econophysicists: a weighted network to investigate the development of Econophysics

The development of Econophysics is studied from the perspective of scientific communication networks. Papers in Econophysics published from 1992 to 2003 are collected. Then a weighted and directed network of scientific communication, including collaboration, citation and personal discussion, is constructed. Its static geometrical properties, including degree distribution, weight distribution, weight per degree, and betweenness centrality, give a nice overall description of the research works. The way we introduced here to measure the weight of connections can be used as a general one to construct weighted network.

cond-mat.soft↗

arXiv2004

Physics of Econophysics

Econophysics is a new area developed recently by the cooperation between economists, mathematicians and physicists. It's not a tool to predict future prices of stocks and exchange rates. It applies idea, method and models in Statistical Physics and Complexity to analyze data from economical phenomena. In this paper, three examples from three active main topics in Econophysics are presented first. Then using these examples, we analyze the role of Physics in Econophysics. Some comments and emphasis on Physics of Econophysics are included. New idea of network analysis for economy systems is proposed, while the actual analysis is still in progress.

cond-mat.soft↗

arXiv2002

Division of Labor as the Result of Phase Transition

The emergence of labor division in multi-agent system is analyzed by the method of statistical physics. Considering a system consists of N homogeneous agents. Their behaviors are determined by the returns from their production. Using the Metropolis method in statistical physics, which in this model can been regarded as a kind of uncertainty in decision making, we constructed a Master equation model to describe the evolution of the agents distribution. When we introduce the mechanism of learning by doing to describe the effect of technical progress and a formula for the competitive cooperation, the model gives us the following interesting results: (1) As the results of long term evolution, the system can reach a steady state. (2) When the parameters exceed a critical point, the labor division emerges as the result of phase transition. (3) Although the technical progress decides whether or not phase transition occurs, the critical point is strongly effected by the competitive cooperation. From the above physical model and the corresponding results, we can get a more deeply understanding about the labor division.

cond-mat.stat-mech↗