arXiv (All)
open access
Fractional-order SIS-UAU subdiffusion model for rumor propagation
Understanding information and rumor diffusion in complex social systems is essential for risk management. Classical SIS-UAU (Susceptible-Infected-Susceptible / Unaware-Aware-Unaware) models rely on Markovian assumptions and thus fail to capture the memory effects and subdiffusive behaviors commonly
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A Networked SIS Epidemic--Opinion Model with Higher-Order Interactions#972477
- A Novel Approach for the SDIR Epidemic Model on Online Social Networks#1118755
- A Novel Approach for the SDIR Epidemic Model on Online Social Networks#1108659
- EPITIME: A Computational Framework for Integral Epidemic Models with Structure-Preserving Discretizations#1327372
- Traveling fronts in a spatial epidemic model with slow loss of immunity#1035579
Record · ID 1357663
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive