Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks

With the development of science and technology, products are being updated more and more quickly. Therefore, the diffusion of product information can make people better choose products. It is very meaningful to study the competition and diffusion of multiple product information. In this paper, the d...

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Main Authors: Liang’an Huo, Xiaoxiao Xie
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/6819512
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author Liang’an Huo
Xiaoxiao Xie
author_facet Liang’an Huo
Xiaoxiao Xie
author_sort Liang’an Huo
collection DOAJ
description With the development of science and technology, products are being updated more and more quickly. Therefore, the diffusion of product information can make people better choose products. It is very meaningful to study the competition and diffusion of multiple product information. In this paper, the dual product information diffusion model with preference was proposed based on the mean-field equation in complex networks. The dynamic of the model was analyzed by the analysis of Markov chains. According to the Monte Carlo simulation mechanism, the critical threshold of product information was obtained. The accuracy of the theory and model results is verified by computer simulation, and the scenarios in which the two products information are mutually promoted and mutually suppressed are simulated.
format Article
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institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2020-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-3abb52ec416e4952b6a5b8c19c6198dc2025-02-03T06:46:23ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/68195126819512Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex NetworksLiang’an Huo0Xiaoxiao Xie1Business School, University of Shanghai for Science and Technology, Shanghai 200093, ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, ChinaWith the development of science and technology, products are being updated more and more quickly. Therefore, the diffusion of product information can make people better choose products. It is very meaningful to study the competition and diffusion of multiple product information. In this paper, the dual product information diffusion model with preference was proposed based on the mean-field equation in complex networks. The dynamic of the model was analyzed by the analysis of Markov chains. According to the Monte Carlo simulation mechanism, the critical threshold of product information was obtained. The accuracy of the theory and model results is verified by computer simulation, and the scenarios in which the two products information are mutually promoted and mutually suppressed are simulated.http://dx.doi.org/10.1155/2020/6819512
spellingShingle Liang’an Huo
Xiaoxiao Xie
Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks
Complexity
title Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks
title_full Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks
title_fullStr Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks
title_full_unstemmed Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks
title_short Dynamical Analysis of Dual Product Information Diffusion considering Preference in Complex Networks
title_sort dynamical analysis of dual product information diffusion considering preference in complex networks
url http://dx.doi.org/10.1155/2020/6819512
work_keys_str_mv AT lianganhuo dynamicalanalysisofdualproductinformationdiffusionconsideringpreferenceincomplexnetworks
AT xiaoxiaoxie dynamicalanalysisofdualproductinformationdiffusionconsideringpreferenceincomplexnetworks