Epidemic spreading in scale-free networks.
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Summary
A dynamical model for the spreading of infections on scale-free networks is defined, finding the absence of an epidemic threshold and its associated critical behavior and this new epidemiological framework rationalizes data of computer viruses and could help in the understanding of other spreading phenomena on communication and social networks.
- Type
- article
- Published
- 2000-10-20
- Cited by
- 5,489
- References
- 38
- Access
- Open access
- OpenAlex
- https://openalex.org/W2038195874
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16298768
Keywords
Scale-free network, Computer science, The Internet, Computer virus, Scale (ratio)
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- Fighting Computer Viruses
- Collective dynamics of ‘small-world’ networks
- Mean-field theory for scale-free random networks
- Computers and epidemiology
- The Mathematical Theory of Infectious Diseases
- The fractal properties of Internet
- Internet: Diameter of the World-Wide Web
- IEEE Spectrum
- Understanding environmental pollution
- A short course on computer viruses
- On power-law relationships of the Internet topology
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- Dynamic clustering of evolving networks: some results on the line
- Threshold effects for two pathogens spreading on a network.
- Effects of the network structural properties on its controllability.
- Virus Throttling for Instant Messaging
- Stochastic oscillations in models of epidemics on a network of cities.
- Network physiology reveals relations between network topology and physiological function
- The price of anarchy in mobility-driven contagion dynamics
- Evolution and emergence of infectious diseases in theoretical and real-world networks
- Regular graphs maximize the variability of random neural networks.
- Breakdown of interdependent directed networks
- Evacuation of Pedestrians with Two Motion Modes for Panic System
- Epidemic cycling in a multi-strain SIRS epidemic network model
- Statistical physics approaches to large-scale socio-economic networks
- Viruses Epidemics of Avian Influenza Based on Complex Networks
- Collective effect of personal behavior induced preventive measures and differential rate of transmission on spread of epidemics.
- The impact of contact patterns on epidemic dynamics
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