Physics – Physics and Society
Scientific paper
2005-02-01
Physics
Physics and Society
14 pages, 15 figures, 9th Workshop on Economics and Heterogeneous Interacting Agents (WEHIA2004) May 27-29, 2004 at Kyoto Univ
Scientific paper
The Japanese shareholding network at the end of March 2002 is studied. To understand the characteristics of this network intuitively, we visualize it as a directed graph and an adjacency matrix. Especially detailed features of networks concerned with the automobile industry sector are discussed by using the visualized networks. The shareholding network is also considered as an undirected graph, because many quantities characterizing networks are defined for undirected cases. For this undirected shareholding network, we show that a degree distribution is well fitted by a power law function with an exponential tail. The exponent in the power law range is gamma=1.8. We also show that the spectrum of this network follows asymptotically the power law distribution with the exponent delta=2.6. By comparison with gamma and delta, we find a scaling relation delta=2gamma-1. The reason why this relation holds is attributed to the local tree-like structure of networks. To clarify this structure, the correlation between degrees and clustering coefficients is considered. We show that this correlation is negative and fitted by the power law function with the exponent alpha=1.1. This guarantees the local tree-like structure of the network and suggests the existence of a hierarchical structure. We also show that the degree correlation is negative and follows the power law function with the exponent nu=0.8. This indicates a degree-nonassortative network, in which hubs are not directly connected with each other. To understand these features of the network from the viewpoint of a company's growth, we consider the correlation between the degree and the company's total assets and age. It is clarified that the degree and the company's total assets correlate strongly, but the degree and the company's age have no correlation.
Aoyama Hideaki
Fujiwara Yoshi
Souma Wataru
No associations
LandOfFree
Heterogeneous Economic Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Heterogeneous Economic Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Heterogeneous Economic Networks will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-61352