Parameter recognition for complex networks subjected to noise

Yunguo Jin

Physica A: Statistical Mechanics and its Applications, 2019, vol. 536, issue C

Abstract: The paper addresses the parameters recognition for complex networks with time-varying correlation stochastic effects by constructing response networks. Unlike previous parameters recognition of complex networks, the complex networks are subjected to noise. In particular, the correlation coefficients of random effects for the master networks and the slave works are not constants. In this process of successfully identifying unknown parameters of complex networks, a key point is to construct some suitable approximation functions. A numerical simulation example demonstrates the successful identification of unknown parameters of complex networks under time-varying correlation perturbations.

Keywords: Parameter recognition; Time-varying correlation; Complex networks; Brownian motion (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:536:y:2019:i:c:s0378437119304571

DOI: 10.1016/j.physa.2019.04.091

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