Diffusion and protection across a random graph
Bibliographic Data
| ID | 6161376 |
|---|---|
| Authors | Andrea Galeotti (0000-0002-3071-9767, University of Essex), Brian W Rogers (Washington University in St. Louis) |
| Year | 2015 |
| Volume | 3 |
| Issue | 3 |
| Pages | 361-376 |
| Publication date | 2015-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Network Science (JOURNAL) |
| Journal identifiers | ISSN: 2050-1250 • E-ISSN: 2050-1242 |
| Publisher | Cambridge University Press (PUBLISHER • US) |
| DOI | 10.1017/nws.2015.24 |
| OpenAlex | W2419636128 |
| Language | EN |
| Citations received | 2 |
| References cited | 11 |
We study the interplay between the diffusion of a harmful state in a network of contacts and the possibility of individual agents to undertake costly investment to protect themselves against infection. We characterize how equilibrium diffusion outcomes, such as the immunization rate, total prevalence and welfare, respond to changes in the architecture of the network, and show that these responses depend on the details of the diffusion process
Biological system · Biology · Business · Diffusion · Diffusion process · Graph · Innovation diffusion · Knowledge management · Physics · Random graph · Statistical physics · Thermodynamics · Complex Network Analysis Techniques · Computer Science · COVID-19 epidemiological studies · Opinion Dynamics and Social Influence · Theoretical Computer Science
| Citations per year | 0.22 |
|---|---|
| Citation span | 2017 - 2019 (3) |
| Highly cited | No |