Volume 128, Number 1, October 2019
|Number of page(s)||6|
|Section||Condensed Matter: Structural, Mechanical and Thermal Properties|
|Published online||26 November 2019|
Highly clustered complex networks in the configuration model: Random regular small-world network
Department of Physics and Photon Science, Gwangju Institute of Science and Technology Gwangju 61005, South Korea
Received: 23 August 2019
Accepted: 16 October 2019
We propose a method to make a highly clustered complex network within the configuration model. Using this method, we generated highly clustered random regular networks and analyzed their properties. We show that highly clustered random regular networks with appropriate parameters satisfy all the conditions of the small-world network: connectedness, high clustering coefficient, and small-world effect. We also study how clustering affects the percolation threshold in random regular networks. In addition, the prisoner's dilemma game is studied and the effects of clustering and degree heterogeneity on the cooperation level are discussed.
PACS: 64.60.aq – Networks / 64.60.ah – Percolation / 02.50.Le – Decision theory and game theory
© EPLA, 2019
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