Modelling the Diffusion of Investment Decisions on Modular Social Networks

In the financial market, information and investment behaviors disseminate in investor social networks, and different contagion patterns may cause diverse investment trends. Prior studies have investigated the impact of investor social networks, but few have considered community structure. In this pa...

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Main Authors: Xiaokang Cheng, Narisa Zhao
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/2981231
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author Xiaokang Cheng
Narisa Zhao
author_facet Xiaokang Cheng
Narisa Zhao
author_sort Xiaokang Cheng
collection DOAJ
description In the financial market, information and investment behaviors disseminate in investor social networks, and different contagion patterns may cause diverse investment trends. Prior studies have investigated the impact of investor social networks, but few have considered community structure. In this paper, we study the impact of the community structure of investor social networks on the diffusion of internet investment products. A two-stage diffusion model is proposed, and the clustering coefficient and modularity of an investor social network are considered. The results show that both modularity and the clustering coefficient have an impact on the diffusion velocity and scale and that the impact is most evident at the stage of explosive growth. The negative influence of a large modularity can be hardly mitigated by adjusting other factors. Furthermore, a decrease in modularity and an increase in the clustering coefficient can better facilitate diffusion when the temporary investment rate is high and can partly offset the negative impact of information discarding and divestment.
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institution Kabale University
issn 1076-2787
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language English
publishDate 2020-01-01
publisher Wiley
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series Complexity
spelling doaj-art-ca101432ed4043e59825434719e1dc202025-02-03T01:04:40ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/29812312981231Modelling the Diffusion of Investment Decisions on Modular Social NetworksXiaokang Cheng0Narisa Zhao1Institute of Systems Engineering, Dalian University of Technology, Dalian 116023, ChinaInstitute of Systems Engineering, Dalian University of Technology, Dalian 116023, ChinaIn the financial market, information and investment behaviors disseminate in investor social networks, and different contagion patterns may cause diverse investment trends. Prior studies have investigated the impact of investor social networks, but few have considered community structure. In this paper, we study the impact of the community structure of investor social networks on the diffusion of internet investment products. A two-stage diffusion model is proposed, and the clustering coefficient and modularity of an investor social network are considered. The results show that both modularity and the clustering coefficient have an impact on the diffusion velocity and scale and that the impact is most evident at the stage of explosive growth. The negative influence of a large modularity can be hardly mitigated by adjusting other factors. Furthermore, a decrease in modularity and an increase in the clustering coefficient can better facilitate diffusion when the temporary investment rate is high and can partly offset the negative impact of information discarding and divestment.http://dx.doi.org/10.1155/2020/2981231
spellingShingle Xiaokang Cheng
Narisa Zhao
Modelling the Diffusion of Investment Decisions on Modular Social Networks
Complexity
title Modelling the Diffusion of Investment Decisions on Modular Social Networks
title_full Modelling the Diffusion of Investment Decisions on Modular Social Networks
title_fullStr Modelling the Diffusion of Investment Decisions on Modular Social Networks
title_full_unstemmed Modelling the Diffusion of Investment Decisions on Modular Social Networks
title_short Modelling the Diffusion of Investment Decisions on Modular Social Networks
title_sort modelling the diffusion of investment decisions on modular social networks
url http://dx.doi.org/10.1155/2020/2981231
work_keys_str_mv AT xiaokangcheng modellingthediffusionofinvestmentdecisionsonmodularsocialnetworks
AT narisazhao modellingthediffusionofinvestmentdecisionsonmodularsocialnetworks