Simulation Analysis of Impact of Complex Network on Herd Effect

doi:10.16182/j.issn1004731x.joss.19-0584

Abstract

Abstract: Herd behavior is valuable but complicated. The impact of different type complex network on herd effect is analyzed by multi-agent modeling and simulation. In the model, herd behavior of decision-maker is modeled based on the advanced evidences from empirical study. Through simulation, not only the conclusions drawn from traditional mathematical modeling are verified, but also the whole evolving process of herd effect is inspected and the evolving speed related features can be used to evaluate performances of herd effect. More important, simulation results show the network structure of different type complex networks is one of the key factors for herd effect and heavy-tail effect. For instance, homogenous networks, i.e. regular grid network and E-R random network present a significant herd effect, small world network shows less herd effect, while heavy-tail effect can be found in scale free network environment. When combining with heterogeneous random network, the influence of non-linear herd behavior is not obvious for herd effect.

Key words: herd effect, consumer behavior, complex network, multi-agent based modeling and simulation

CLC Number:

TP391.3

Li Feng, Wei Ying. Simulation Analysis of Impact of Complex Network on Herd Effect[J]. Journal of System Simulation, 2021, 33(3): 539-553.

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