A NETWORK MODEL GENERATED FROM THE RECURSIVE GRAPH BASED ON POLYGON
Yuanyuan Sun (),
Kaining Hou () and
Yujie Zhao ()
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Yuanyuan Sun: College of Computer Science and Technology, Dalian University of Technology, Dalian 116024, P. R. China
Kaining Hou: College of Computer Science and Technology, Dalian University of Technology, Dalian 116024, P. R. China
Yujie Zhao: College of Computer Science and Technology, Dalian University of Technology, Dalian 116024, P. R. China
International Journal of Modern Physics C (IJMPC), 2013, vol. 24, issue 09, 1-13
Abstract:
The study of network models is one of the most challenging research fields among the studies of complex networks, which have been the hot research topics in recent decades. In this paper, we construct a deterministic network by a mapping method based on a recursive graph, and analyze its topological characteristics, including degree distribution, clustering coefficient, network diameter, average path length and degree correlations. We obtain that this network has the small-world property and positive correlation. The network modeling as we present gives a new perspective on networks, and helps to understand better the evolutions of the real-life systems, making it possible to explore the complexity of complex systems.
Keywords: Network models; recursive graphs; complex networks; small-world; polygon (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:24:y:2013:i:09:n:s0129183113500629
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DOI: 10.1142/S0129183113500629
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