Abstract
This paper proposes a dynamic epidemic model for successive opinion diffusion in social networks, extending the SHIMR model. It incorporates dynamic decision-making influenced by social distances and captures accumulative opinion diffusion caused by interrelated rumors. The model reflects the impact of rumor spread on social network structures. Simulations validate its effectiveness in explaining phenomena like the echo chamber effect and provide insights into opinion diffusion dynamics, with implications for understanding social polarization and network evolution.
| Original language | English |
|---|---|
| Title of host publication | 2025 IEEE Global Communications Conference, GLOBECOM 2025 : Proceedings |
| Publisher | IEEE |
| Pages | 4281-4287 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798331577810 |
| ISBN (Print) | 9798331577827 |
| DOIs | |
| Publication status | Published - Dec 2025 |
| Event | The 2025 IEEE Global Communications Conference - Taipei, Taiwan, China Duration: 8 Dec 2025 → 12 Dec 2025 |
Publication series
| Name | IEEE Conference on Global Communications |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1930-529X |
| ISSN (Electronic) | 2576-6813 |
Conference
| Conference | The 2025 IEEE Global Communications Conference |
|---|---|
| Abbreviated title | GLOBECOM 2025 |
| Country/Territory | Taiwan, China |
| City | Taipei |
| Period | 8/12/25 → 12/12/25 |
Funding
This work is supported by the German Federal Ministry of Education & Research in the project Open6GHub (16KISK003K / 16KISK004).
Keywords
- Social network
- epidemic model
- rumor
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