Financial Risk Information Spreading on Metapopulation Networks | Zendy

Min Lin | Zendy; Li Duan | Zendy

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Financial Risk Information Spreading on Metapopulation Networks

Author(s) -

Min Lin,

Li Duan

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6654169

Subject(s) - markov chain , computer science , metapopulation , financial networks , variance (accounting) , transmission (telecommunications) , econometrics , information transmission , computer network , economics , systemic risk , machine learning , telecommunications , sociology , demography , biological dispersal , population , financial crisis , accounting , macroeconomics

*e 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. *e 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. *e weight variance and migration probability cannot significantly affect the financial risk spreading size. *e discrete-time Markov chain approach can reasonably predict the above phenomena.

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