Financial Risk Information Spreading on Metapopulation Networks
The financial risk information diffuses through various kinds of social networks, such as Twitter and Facebook. Individuals transmit the financial risk information which can migrate among different platforms or forums. In this paper, we propose a financial risk information spreading model on metapop...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6654169 |
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| _version_ | 1849400799695732736 |
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| author | Min Lin Li Duan |
| author_facet | Min Lin Li Duan |
| author_sort | Min Lin |
| collection | DOAJ |
| description | The financial risk information diffuses through various kinds of social networks, such as Twitter and Facebook. Individuals transmit the financial risk information which can migrate among different platforms or forums. In this paper, we propose a financial risk information spreading model on metapopulation networks. The subpopulation represents a platform or forum, and individuals migrate among them to transmit the information. We use a discrete-time Markov chain approach to describe the spreading dynamics’ evolution and deduce the outbreak threshold point. We perform numerical simulation on artificial networks and discover that the financial risk information can be promoted once increasing the information transmission probability and active subpopulation fraction. The weight variance and migration probability cannot significantly affect the financial risk spreading size. The discrete-time Markov chain approach can reasonably predict the above phenomena. |
| format | Article |
| id | doaj-art-8dd0a407a00f4defb7203ff95c504a1e |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-8dd0a407a00f4defb7203ff95c504a1e2025-08-20T03:37:54ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66541696654169Financial Risk Information Spreading on Metapopulation NetworksMin Lin0Li Duan1School of Economics and Management, Sichuan Normal University, Chengdu 610101, ChinaSichuan Academy of Social Sciences, Chengdu 610071, ChinaThe financial risk information diffuses through various kinds of social networks, such as Twitter and Facebook. Individuals transmit the financial risk information which can migrate among different platforms or forums. In this paper, we propose a financial risk information spreading model on metapopulation networks. The subpopulation represents a platform or forum, and individuals migrate among them to transmit the information. We use a discrete-time Markov chain approach to describe the spreading dynamics’ evolution and deduce the outbreak threshold point. We perform numerical simulation on artificial networks and discover that the financial risk information can be promoted once increasing the information transmission probability and active subpopulation fraction. The weight variance and migration probability cannot significantly affect the financial risk spreading size. The discrete-time Markov chain approach can reasonably predict the above phenomena.http://dx.doi.org/10.1155/2021/6654169 |
| spellingShingle | Min Lin Li Duan Financial Risk Information Spreading on Metapopulation Networks Complexity |
| title | Financial Risk Information Spreading on Metapopulation Networks |
| title_full | Financial Risk Information Spreading on Metapopulation Networks |
| title_fullStr | Financial Risk Information Spreading on Metapopulation Networks |
| title_full_unstemmed | Financial Risk Information Spreading on Metapopulation Networks |
| title_short | Financial Risk Information Spreading on Metapopulation Networks |
| title_sort | financial risk information spreading on metapopulation networks |
| url | http://dx.doi.org/10.1155/2021/6654169 |
| work_keys_str_mv | AT minlin financialriskinformationspreadingonmetapopulationnetworks AT liduan financialriskinformationspreadingonmetapopulationnetworks |