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How Viruses Spread Among Computers and People
Abstract
The spread of diseases in human and other populations can be described in terms of networks, where individuals are represented by nodes and modes of contact by edges. Similar models can be applied to the spread of viruses on the Internet. In their Perspective, Lloyd and May discuss the similarities and differences between the dynamics of computer viruses and infections of human and other populations.
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“their spread was shown to follow the epidemic nature of their real counterparts [311]”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [311]
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Metadata
- Authors
- Lloyd, A. L., & May, R. M.
- Affiliations
- Institute for Advanced Study (US)
- University of Oxford (GB)
- ORCID
- Lloyd, Alun L.
- Venue
- Science
- Published
- 2001-05-18
- Volume
- 292
- Issue
- 5520
- Pages
- 1316-1317
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2110919848
- Cited by
- 661
- References
- 17
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 11 · 2023: 14 · 2022: 18 · 2021: 30 · 2020: 23 · 2019: 20 · 2018: 54 · 2017: 24 · 2016: 27 · 2015: 22 · 2014: 39 · 2013: 31 · 2012: 43
- FWCI
- 13.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Keywords
- computer viruses, virus transmission, epidemic modeling, contact networks, disease transmission to humans, network models
- MeSH terms
- Animals, Computers, Disease Susceptibility, Humans, Models, Biological, Social Environment, Virus Diseases, Neural Networks, Computer, Virus Physiological Phenomena, Internet
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