Physics – Data Analysis – Statistics and Probability
Scientific paper
2006-09-15
Phys. Rev. E 75, 036102(2007)
Physics
Data Analysis, Statistics and Probability
5 pages, 4 figures
Scientific paper
10.1103/PhysRevE.75.027101
We model information traffic on scale-free networks by introducing the node queue length L proportional to the node degree and its delivering ability C proportional to L. The simulation gives the overall capacity of the traffic system, which is quantified by a phase transition from free flow to congestion. It is found that the maximal capacity of the system results from the case of the local routing coefficient \phi slightly larger than zero, and we provide an analysis for the optimal value of \phi. In addition, we report for the first time the fundamental diagram of flow against density, in which hysteresis is found, and thus we can classify the traffic flow with four states: free flow, saturated flow, bistable, and jammed.
Hu Mao-Bin
Jiang Rui
Wang Wen-Xu
Wu Qing-song
Wu Yong-Hong
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