Reviews of Modern Physics· 2015Q1· Review
Epidemic processes in complex networks
- 3,746citations
- Q1SCImago
- 2015year
Short summary
This review synthesizes key findings and models for understanding epidemic spreading and social contagion within complex networks.
AI-generated from the title and abstract; the full text is not read.
Key points
- Complex networks are fundamental to understanding processes in biological and sociotechnical systems.
- Epidemic spreading models are central to analyzing dynamical processes on these networks.
- The review covers both infectious disease modeling and generalized social contagion.
AI-generated from the title and abstract; the full text is not read.
Abstract
Complex networks arise in a wide range of biological and sociotechnical systems. Epidemic spreading is central to our understanding of dynamical processes in complex networks, and is of interest to physicists, mathematicians, epidemiologists, and computer and social scientists. This review presents the main results and paradigmatic models in infectious disease modeling and generalized social contagion processes.
The authors' abstract, as published at the source. Reviews of Modern Physics, 2015 · DOI ↗
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Field: Modeling and Simulation
Modeling and SimulationMathematics