How Viruses Spread Among Computers and People

By A. Lloyd, R. May. Science, 2001

587 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/ee1f7874ab1a1f52ad5ae23b7003711415d3de9b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

In Statistical and Nonlinear Physics

Citations in the corpus

Email networks and the spread of computer viruses. (2002, background): “May, How viruses spread among computers and people.”
Evolution of networks (2001, methodology): “ disease spread in undirected networks with exponential and power-law degree distributions was studied in Refs. [206,207] and then in Refs. [208–210] (see popular discussion of these problems in Ref. [211]). This processis genericallyrelated to the percolationproperties of the networks. For the mode”
Comparing large-scale computational approaches to epidemic modeling: Agent-based versus structured metapopulation models (2010, background): “Changes in attack rates and even epidemic thresholds are also observed when the full interaction pattern of individuals is considered [49-51].”
Statistical physics of social dynamics (2007, background): “Similarly, we do not review the intense recent activity on epidemics spreading (Anderson and May, 1991; Lloyd and May, 2001) on networks (May, 2006; Pastor-Satorras and Vespignani, 2001), though we devote a section to social spreading phenomena.”
Random Graph Dynamics: References (2006, background): “” This quote is from Lloyd and May’s (2001) discussion in Science of Pastor-Satorras and Vespignani (2001).”
Networks and epidemic models (2005, background): “Albert (1999), the existence of individuals of arbitrarily large degree means that there is no level of random vaccination that is sufficient to prevent an epidemic (Albert et al .2 000; Lloyd & May 2001; Pastor-Satorras & Vespignani 2001).”
Universality in network dynamics (2013, unknown): “To be sure, advances in our understanding of synchronization [17, 18], spreading processes [19–21] or spectral phenomena [22] have offered important clues on the interplay between network topology and network dynamics.”
Modelling dynamical processes in complex socio-technical systems (2011, background): “Epidemiologists, computer scientists and social scientists share a common interest in studying contagion phenomena and rely on very similar spreading models for the description of the diffusion of viruses, knowledge and innovations 1–5 .”