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Clustering in random line graphs

delete2010-01-01
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Anna Mańka-Krasoń
A
Advera Mwijage
K
K. Kułakowski *
DOI:10.1016/j.cpc.2009.09.010delete
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摘要

摘要

En 中文
We investigate the degree distribution P(k) and the clustering coefficient C of the line graphs constructed on the Erdos-Renyi networks, the exponential and the scale-free growing networks. We show that the character of the degree distribution in these graphs remains Poissonian, exponential and power law, respectively, i.e. the same as in the original networks. When the mean degree (k) increases, the obtained clustering coefficient C tends to 0.50 for the transformed Erdos-Renyi networks, to 0.53 for the transformed exponential networks and to 0.61 for the transformed scale-free networks. These results are close to theoretical values, obtained with the model assumption that the degree-degree correlations in the initial networks are negligible. (C) 2009 Elsevier B.V. All rights reserved.
Keyword:
Line graphs
Random networks
Clustering coefficient
Degree distribution
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期刊

Computer Physics Communications 封面图
Computer Physics Communications
IF:
3.4
论文数:
1.2W
被引数:
3.7W

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AGH University of Krakow
学者数:
9.2K
论文数: 9.4K
被引数: 1.2W
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