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Title: Scale-free networks of the earth's surface
Authors: Liu, G
He, J
Luo, K
Gao, P
Ma, L
Keywords: Complex networks
Power-law distribution
Structural complexity
The earth's surface
Issue Date: 2016
Publisher: World Scientific
Source: International journal of modern physics B, 2016, v. 30, no. 21, 1650143 How to cite?
Journal: International journal of modern physics B 
Abstract: Studying the structure of real complex systems is of paramount importance in science and engineering. Despite our understanding of lots of real systems, we hardly cognize our unique living environment-the earth. The structural complexity of the earth's surface is, however, still unknown in detail. Here, we define the modeling of graph topology for the earth's surface, using the satellite images of the earth's surface under different spatial resolutions derived from Google Earth. We find that the graph topologies of the earth's surface are scale-free networks regardless of the spatial resolutions. For different spatial resolutions, the exponents of power-law distributions and the modularity are both quite different; however, the average clustering coefficient is approximately equal to a constant. We explore the morphology study of the earth's surface, which enables a comprehensive understanding of the morphological feature of the earth's surface.
ISSN: 0217-9792
EISSN: 1793-6578
DOI: 10.1142/S0217979216501435
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