The effects of evolutionary adaptations on spreading processes in complex networks
Abstract
In this article, we bridge the disconnect between how spreading processes propagate and evolve in real life and the current mathematical and simulation models that ignore evolutionary adaptations. We propose a mathematical theory that reveals the effects of evolutionary adaptations on spreading processes in complex networks and highlights the shortcomings of classical epidemic models that do not capture evolution. Our work provides substantive developments to the classical theory of network epidemics and paves the way for exploring depths and revealing insights on the emergence phenomenon.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 02, 2020
- Source ID
- 10.1073/pnas.1918529117
Entities
People
- Kathleen Carley
- Osman Yagan
- Rashad Eletreby
- Vincent Poor
- Yong Zhuang
Organizations
- Army Research Office
- Carnegie Mellon University
- National Science Foundation
- Office of Naval Research
- Princeton University