作者
Jinjun Tang, Yinhai Wang, Fang Liu
发表日期
2013/9/15
期刊
Physica A: Statistical Mechanics and its Applications
卷号
392
期号
18
页码范围
4192-4201
出版商
North-Holland
简介
A complex network is a powerful tool to research complex systems, traffic flow being one of the most complex systems. In this paper, we use complex network theory to study traffic time series, which provide a new insight into traffic flow analysis. Firstly, the phase space, which describes the evolution of the behavior of a nonlinear system, is reconstructed using the delay embedding theorem. Secondly, in order to convert the new time series into a complex network, the critical threshold is estimated by the characteristics of a complex network, which include degree distribution, cumulative degree distribution, and density and clustering coefficients. We find that the degree distribution of associated complex network can be fitted with a Gaussian function, and the cumulative degree distribution can be fitted with an exponential function. Density and clustering coefficients are then researched to reflect the change of …
学术搜索中的文章
J Tang, Y Wang, F Liu - Physica A: Statistical Mechanics and its Applications, 2013