In:
International Journal of Modern Physics C, World Scientific Pub Co Pte Ltd, Vol. 22, No. 04 ( 2011-04), p. 333-345
Abstract:
In this paper, we propose a growing spatial network (GSN) model and investigate its topology properties and dynamical behaviors. The model is generated by adding one node i with m links into a square lattice at each time step and the new node i is connected to the existing nodes with probabilities proportional to: [Formula: see text], where k j is the degree of node j, α is the tunable parameter and d ij is the Euclidean distance between i and j. It is found that both the degree heterogeneity and the clustering coefficient monotonously increase with the increment of α, while the average shortest path length monotonously decreases. Moreover, the evolutionary game dynamics and network traffic dynamics are investigated. Simulation results show that the value of α can also greatly influence the dynamic behaviors.
Type of Medium:
Online Resource
ISSN:
0129-1831
,
1793-6586
DOI:
10.1142/S0129183111016282
Language:
English
Publisher:
World Scientific Pub Co Pte Ltd
Publication Date:
2011
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