Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.10672 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866908588998393856 |
|---|---|
| author | Hasan, Md. Nahid Polin, Sujana Azmi Islam, Saiful Podder, Chandra Nath |
| author_facet | Hasan, Md. Nahid Polin, Sujana Azmi Islam, Saiful Podder, Chandra Nath |
| contents | The spreading and controlling of rumors have great impacts on our society. The transmission of infectious diseases and the spreading of rumors have some common scenarios. Like cross-infection propagation of diseases, two or many kinds of rumors or information may spread at the same time. In this paper, we propose a novel I2E2S2R rumor-spreading model in a homogeneous network. The rumor-free equilibrium, as well as the basic reproduction number, have been calculated from the mean-field equations of the model. Lyapunov function and the LaSalle invariance principle are used to establish the global stability of the rumor-free equilibrium. In numerical simulations, it is perceived that a higher degree of network helps to spread rumors quickly. We have also found that making people aware can help to disappear rumors faster from the network. In addition, making people divert from the rumor to exact information can lessen the spreading of the rumor. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_10672 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | I2E2S2R Rumor Spreading Model in Homogeneous Network with Hesitating and Forgetting Mechanisms Hasan, Md. Nahid Polin, Sujana Azmi Islam, Saiful Podder, Chandra Nath Physics and Society Optimization and Control The spreading and controlling of rumors have great impacts on our society. The transmission of infectious diseases and the spreading of rumors have some common scenarios. Like cross-infection propagation of diseases, two or many kinds of rumors or information may spread at the same time. In this paper, we propose a novel I2E2S2R rumor-spreading model in a homogeneous network. The rumor-free equilibrium, as well as the basic reproduction number, have been calculated from the mean-field equations of the model. Lyapunov function and the LaSalle invariance principle are used to establish the global stability of the rumor-free equilibrium. In numerical simulations, it is perceived that a higher degree of network helps to spread rumors quickly. We have also found that making people aware can help to disappear rumors faster from the network. In addition, making people divert from the rumor to exact information can lessen the spreading of the rumor. |
| title | I2E2S2R Rumor Spreading Model in Homogeneous Network with Hesitating and Forgetting Mechanisms |
| topic | Physics and Society Optimization and Control |
| url | https://arxiv.org/abs/2510.10672 |