We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Financial Risk Information Spreading on Metapopulation Networks.
- Authors
Lin, Min; Duan, Li
- Abstract
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.
- Subjects
FINANCIAL risk; MARKOV processes; INFORMATION modeling; COMPUTER simulation; PROBABILITY theory
- Publication
Complexity, 2021, p1
- ISSN
1076-2787
- Publication type
Academic Journal
- DOI
10.1155/2021/6654169