THE APPLICATION OF SEMIDEFINITE INTEGER PROGRAMMING MODEL FOR THE SIMULATION OF COMPLEX NETWORKS
Jiao Bo (),
Lu Zhi-Yong and
Shi Jian-Mai
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Jiao Bo: Luoyang Electronic Equipment Test Center, Luoyang 471003, P. R. China
Lu Zhi-Yong: Luoyang Electronic Equipment Test Center, Luoyang 471003, P. R. China
Shi Jian-Mai: School of Information System and Management, National University of Defense Technology, Changsha 410073, P. R. China
Advances in Complex Systems (ACS), 2015, vol. 18, issue 03n04, 1-25
Abstract:
Semidefinite integer programming model is an accurate tool for the structural design of networks. In this paper, we propose a semidefinite integer programming model with the constraints of spectral distributions and node degree distributions for the simulation of complex networks. Also, the feasible solutions and branch-and-bound solving algorithms of the model are designed. Based on eight metrics (e.g., spectral distribution, node degree distribution, clustering coefficients, etc.), the validity and practicability of the proposed method are illustrated.
Keywords: Complex network; spectral distribution; semidefinite integer programming model; network simulation (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:18:y:2015:i:03n04:n:s0219525915500150
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DOI: 10.1142/S0219525915500150
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