An Evolving Network Model of Self-employment Agglomeration

Abstract

Self-employment agglomeration is a very typical entrepreneurship in China’s urbanization process, and new comers
can easily obtain resource aids from agglomeration because the communications there are very frequent. Referring to
complex network theory, we construct an evolving network which can basically reflect the situation of agglomeration
evolution in China. Under given preferential attachment rule, we simulate its evolving process and calculate its
statistic properties. We find that self-employment agglomeration with this evolving rule has comparatively big
average degree and power-law degree distribution; it has large clustering coefficient and short average path length.
We conclude that self-employment agglomeration has the properties both in scale-free network and in small world
network. The mechanisms of statistic properties on self-employment are also analyzed.