The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Infectious Diseases of Humans: Dynamics and Control
(1992) · Annals of Internal Medicine · doi:10.7326/0003-4819-117-2-174_4 · Cited by 7,819
Error and attack tolerance of complex networks
Albert, R., Jeong, H., & Barabási, A.-L. (2000) · Nature · doi:10.1038/35019019 · Cited by 7,534
Error and attack tolerance of complex networksPreprint
Albert, R., Jeong, H., & Barabási, A.-Ĺ. (2000) · Cited by 6,554
Infectious Diseases of Humans: Dynamics and Control
Anderson, R. M., & May, R. M. (1991) · doi:10.1093/oso/9780198545996.001.0001 · Cited by 6,179
Self-citationEpidemic Spreading in Scale-Free Networks
Pastor‐Satorras, R., & Vespignani, A. (2001) · Physical Review Letters · doi:10.1103/physrevlett.86.3200 · Cited by 5,785
On power-law relationships of the Internet topology
Faloutsos, M., Faloutsos, P., & Faloutsos, C. (1999) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/316188.316229 · Cited by 4,279
Diameter of the World-Wide Web
Albert, R., Jeong, H., & Barabási, A.-Ĺ. (1999) · Nature · doi:10.1038/43601 · Cited by 4,240
Classes of small-world networks
Amaral, L. A. N., Scala, A., Barthélémy, M., & Stanley, H. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200327197 · Cited by 3,051
Flagged first, then by citations
Research works printed but not linked: 1
- May R. M., Gupta S., McLean A. R., Philos. Trans. R. Soc. London Bin press.
Cited by
Sorted by citations
Items 201–300 of 660
Network of sexual contacts and sexually transmitted HIV infection in Burkina Faso
Latora, V., Nyamba, A., Simporè, J., Sylvette, B., Diane, S., Sylvére, B., & Musumeci, S. (2006) · Journal of Medical Virology · doi:10.1002/jmv.20614 · Cited by 42
EPIDEMICS OF SIRS MODEL WITH NONUNIFORM TRANSMISSION ON SCALE-FREE NETWORKS
Xia, C., Sun, S., Liu, Z., Chen, Z. Q., & Yuan, Z. Z. (2009) · International Journal of Modern Physics B · doi:10.1142/s021797920905211x · Cited by 41
Exhaustive percolation on random networks
Samuelsson, B., & Socolar, J. E. S. (2006) · Physical Review E · doi:10.1103/physreve.74.036113 · Cited by 39
Imperfect targeted immunization in scale-free networks
Wang, Y., Xiao, G., Hu, J. Z., Cheng, T. H., & Wang, L. (2009) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2009.02.036 · Cited by 41
Is Oprah Contagious? The Depth of Diffusion of Demand Shocks in a Product Network1
Carmi, E., Oestreicher-Singer, G., Stettner, U., & Sundararajan, A. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.1.10 · Cited by 41
Berres, S., & Ruíz-Baier, R. (2011) · Nonlinear Analysis Real World Applications · doi:10.1016/j.nonrwa.2011.04.014 · Cited by 41
Epidemic outbreaks on networks with effective contacts
Li, K., SMALL, M. P., Zhang, H., & Fu, X. (2009) · Nonlinear Analysis Real World Applications · doi:10.1016/j.nonrwa.2009.01.046 · Cited by 41
Dynamic detection for computer virus based on immune system
Li, T. (2008) · Science in China Series F Information Sciences · doi:10.1007/s11432-008-0125-y · Cited by 41
An information propagation model considering incomplete reading behavior in microblog
Su, Q., Huang, J., & Zhao, X. (2014) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2014.10.042 · Cited by 40
Locating multiple diffusion sources in time varying networks from sparse observations
Hu, Z.-L., Shen, Z., Cao, S., Boris Podobnik, A., Yang, H., Wang, W.-X., & Lai, Y. (2018) · Scientific Reports · doi:10.1038/s41598-018-20033-9 · Cited by 40
Kinetics of distribution of infections in networks
AVRAMOV, I. D. (2007) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2007.02.002 · Cited by 40
Revisiting node-based SIR models in complex networks with degree correlations
Wang, Y., Cao, J., Alofi, A. S., Al-Mazrooei, A., & Elaiw, A. M. (2015) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2015.05.103 · Cited by 39
Optimal localization of diffusion sources in complex networks
Hu, Z.-L., Han, X., Lai, Y., & Wang, W.-X. (2017) · Royal Society Open Science · doi:10.1098/rsos.170091 · Cited by 39
An Efficient Control Strategy of Epidemic Spreading on Scale-Free Networks
Hai-feng, Z., Li, K., Fu, X., & Wang, B.-H. (2009) · Chinese Physics Letters · doi:10.1088/0256-307x/26/6/068901 · Cited by 37
An Introduction to Networks in Epidemic Modeling
Brauer, F. (2008) · Lecture notes in mathematics · doi:10.1007/978-3-540-78911-6_4 · Cited by 37
Optimization of robustness of network controllability against malicious attacks
Xiao, Y., Lao, S., Hou, L., & Bai, L. (2014) · Chinese Physics B · doi:10.1088/1674-1056/23/11/118902 · Cited by 37
Farooq, J., & Zhu, Q. (2017) · International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) · doi:10.23919/wiopt.2017.7959892 · Cited by 37
Sapsis, T. P. (2018) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2017.0133 · Cited by 37
Scaling properties and symmetrical patterns in the epidemiology of rotavirus infection
José, M. V., & Bishop, R. F. (2003) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2003.1291 · Cited by 37
Impacts of preference and geography on epidemic spreading
Xu, X., Zhang, X., & Mendes, J. F. F. (2007) · Physical Review E · doi:10.1103/physreve.76.056109 · Cited by 37
Optimization and universality of Brownian search in a basic model of quenched heterogeneous media
Godec, A., & Metzler, R. (2015) · Physical Review E · doi:10.1103/physreve.91.052134 · Cited by 35
Epidemics on interconnected lattices
Li, D., Qin, P., Wang, H., Liu, C., & Jiang, Y. (2014) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/105/68004 · Cited by 35
Influence of the Fibroblastic Reticular Network on Cell-Cell Interactions in Lymphoid Organs
Graw, F., & Regoes, R. R. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002436 · Cited by 38
Prevention of infectious diseases by public vaccination and individual protection
Peng, X.-L., Xu, X.-J., SMALL, M. P., Fu, X., & Jin, Z. (2016) · Journal of Mathematical Biology · doi:10.1007/s00285-016-1007-3 · Cited by 35
Role of Live-Duck Movement Networks in Transmission of Avian Influenza, France, 2016–2017
Guinat, C., Durand, B., Vergne, T., Corre, T., Rautureau, S., Scoizec, A., Bouquin, S. L., Guérin, J., & Paul, M. (2020) · Emerging infectious diseases · doi:10.3201/eid2603.190412 · Cited by 35
Contact Adaption During Epidemics: A Multilayer Network Formulation Approach
Sahneh, F. D., Vajdi, A., Melander, J., & Scoglio, C. M. (2017) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2017.2770091 · Cited by 35
Fundamental constraints to the logic of living systems
Solé, R., Kempes, C. P., Corominas-Murtra, B., De Domenico, M., Kolchinsky, A., Lachmann, M., Libby, E., Saavedra, S., Smith, E., & Wolpert, D. (2024) · Interface Focus · doi:10.1098/rsfs.2024.0010 · Cited by 34
Epidemic dynamics on information-driven adaptive networks
Zhan, X., Liu, C., Sun, G., & Zhang, Z. (2018) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2018.02.010 · Cited by 34
Steady-state dynamics of the forest fire model on complex networks
Bancal, J.-D., & Pastor‐Satorras, R. (2010) · The European Physical Journal B · doi:10.1140/epjb/e2010-00165-7 · Cited by 38
Controlling Echinococcus multilocularis—ecological implications of field trials
Hansen, F., Tackmann, K., Jeltsch, F., Wissel, C., & Thulke, H. (2003) · Preventive Veterinary Medicine · doi:10.1016/s0167-5877(03)00084-9 · Cited by 34
First-passage distributions for the one-dimensional Fokker-Planck equation
Artime, O., Khalil, N., Toral, R., & Miguel, M. S. (2018) · Physical review. E · doi:10.1103/physreve.98.042143 · Cited by 33
Newman, M. E. J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780198805090.003.0001 · Cited by 38
Predicting epidemic thresholds on complex networks: Limitations of mean-field approaches
Givan, O., Schwartz, N., Cygelberg, A., & Stone, L. (2011) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2011.07.015 · Cited by 33
Impact of Network Structure on Malware Propagation: A Growth Curve Perspective
Guo, H., Cheng, H. K., & Kelley, K. (2016) · Journal of Management Information Systems · doi:10.1080/07421222.2016.1172440 · Cited by 33
Strategy to suppress epidemic explosion in heterogeneous metapopulation networks
Shen, C., Chen, H., & Hou, Z. (2012) · Physical Review E · doi:10.1103/physreve.86.036114 · Cited by 32
Identifying vital nodes through augmented random walks on higher-order networks
Zeng, Y., Huang, Y., Ren, X.-L., & Lü, L. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121067 · Cited by 31
Vaquero, J. M., Queiruga‐Dios, A., del Rey, A. M., Encinas, A. H., Guillén, J. D. H., & Rodríguez, G. (2017) · Journal of Computational and Applied Mathematics · doi:10.1016/j.cam.2017.03.031 · Cited by 31
Edge-based epidemic spreading in degree-correlated complex networks
Wang, Y., Ma, J., Cao, J., & Li, L. (2018) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2018.06.006 · Cited by 31
Chatterjee, S., & Thekdi, S. (2019) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2019.106664 · Cited by 31
Understanding the implementation of evidence-based care: A structural network approach
Parchman, M. L., Scoglio, C., & Schumm, P. (2011) · Implementation Science · doi:10.1186/1748-5908-6-14 · Cited by 30
Applying the Bayesian Stackelberg Active Deception Game for Securing Infrastructure Networks
Zeng, C., Ren, B., Liu, H., & Chen, J. (2019) · Entropy · doi:10.3390/e21090909 · Cited by 30
Identifying influential spreaders in artificial complex networks
Wang, P., Tian, C., & Lu, J.-A. (2014) · Journal of Systems Science and Complexity · doi:10.1007/s11424-014-2236-4 · Cited by 30
Epidemics and immunization on Euclidean distance preferred small-world networks
Guo, W.-P., Li, X., & Wang, X. (2007) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2007.03.007 · Cited by 30
Bauckhage, C., Hadiji, F., & Kersting, K. (2021) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v9i1.14598 · Cited by 30
Diffusion behavior in a docked bike-sharing system
Wei, X., Luo, S., & Nie, Y. M. (2019) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2019.08.018 · Cited by 30
A hybrid strategy for network immunization
Li, X., Guo, J., Gao, C., Zhang, L., & Zhang, Z. (2017) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2017.11.029 · Cited by 29
Markovian approach to tackle the interaction of simultaneous diseases
Soriano‐Paños, D., Ghanbarnejad, F., Meloni, S., & Gómez‐Gardeñes, J. (2019) · Physical review. E · doi:10.1103/physreve.100.062308 · Cited by 29
Modelling the spread of diseases in clustered networks
Molina, C., & Stone, L. (2012) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2012.08.036 · Cited by 28
Temporal Patterns of Communication in Social Networks
Miritello, G. (2013) · Springer theses · doi:10.1007/978-3-319-00110-4 · Cited by 29
da Mata, A. S., Ferreira, S. C., & Pastor‐Satorras, R. (2013) · Physical Review E · doi:10.1103/physreve.88.042820 · Cited by 27
Epidemic spreading in a scale-free network of regular lattices
Silva, S. L., Ferreira, J. Â. D., & Martins, M. L. (2006) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2006.11.027 · Cited by 27
Effect of Small‐World Networks on Epidemic Propagation and Intervention
Xu, Z., & Sui, D. Z. (2009) · Geographical Analysis · doi:10.1111/j.1538-4632.2009.00754.x · Cited by 27
Vickers, D., & Osgood, N. D. (2007) · Theoretical Biology and Medical Modelling · doi:10.1186/1742-4682-4-49 · Cited by 27
Social Influence in Liver Fluke Transmission
Phimpraphai, W., Tangkawattana, S., Kasemsuwan, S., & Sripa, B. (2018) · Advances in Parasitology/Advances in parasitology · doi:10.1016/bs.apar.2018.05.004 · Cited by 27
First-passage-time processes and subordinated Schramm-Loewner evolution
Nezhadhaghighi, M. G., Rajabpour, M. A., & Rouhani, S. (2011) · Physical Review E · doi:10.1103/physreve.84.011134 · Cited by 26
Predicting the evolution of spreading on complex networks
Chen, D., Xiao, R., & Zeng, A. (2014) · Scientific Reports · doi:10.1038/srep06108 · Cited by 25
Interplay of network dynamics and heterogeneity of ties on spreading dynamics
Ferreri, L., Bajardi, P., Giacobini, M., Perazzo, S., & Venturino, E. (2014) · Physical Review E · doi:10.1103/physreve.90.012812 · Cited by 26
Ferreri, L., Giacobini, M., Bajardi, P., Bertolotti, L., Bolzoni, L., Tagliapietra, V., Rizzoli, A. P., & Rosà, R. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003931 · Cited by 25
Epidemic spreading behavior in local-world evolving networks
Xia, C., Liu, Z., Chen, Z., Sun, S., & Yuan, Z. (2008) · Progress in Natural Science Materials International · doi:10.1016/j.pnsc.2007.11.018 · Cited by 25
Dynamical behaviors of epidemics on scale-free networks with community structure
Sun, H., & Gao, Z. (2007) · Physica A Statistical Mechanics and its Applications · doi:10.1016/j.physa.2007.03.030 · Cited by 25
Modeling and analysis of the effect of network eigenvalue on viral spread
Gan, C. (2016) · Nonlinear Dynamics · doi:10.1007/s11071-016-2600-0 · Cited by 24
Network-based assessment of the vulnerability of Italian regions to bovine brucellosis
Darbon, A., Valdano, E., Poletto, C., Giovannini, A., Savini, L., Candeloro, L., & Vittoria Colizza, A. (2018) · Preventive Veterinary Medicine · doi:10.1016/j.prevetmed.2018.07.004 · Cited by 24
Luo, Y., Zeng, C., Huang, T., & Ai, B.-Q. (2022) · Physical review. E · doi:10.1103/physreve.106.034208 · Cited by 24
Spreading of persistent infections in heterogeneous populations
Sanz, J., Florı́a, L. M., & Moreno, Y. (2010) · Physical Review E · doi:10.1103/physreve.81.056108 · Cited by 24
Identifying influential nodes in complex networks based on Neighbours and edges
Shao, Z., Liu, S., Zhao, Y., & Liu, Y. (2018) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-018-0681-x · Cited by 24
Moving beyond averages: individual-level variation in disease transmission
Lloyd‐Smith, J. O., Schreiber, S. J., & Getz, W. M. (2006) · Contemporary mathematics - American Mathematical Society · doi:10.1090/conm/410/07730 · Cited by 24
Zhan, D., Tian, A.-Q., & Ni, S. (2025) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2025.110738 · Cited by 23
Cui, S., Liu, F., Jardón-Kojakhmetov, H., & Cao, M. (2023) · Automatica · doi:10.1016/j.automatica.2023.111303 · Cited by 23
Nonlinear growth: an origin of hub organization in complex networks
Bauer, R., & Kaiser, M. (2017) · Royal Society Open Science · doi:10.1098/rsos.160691 · Cited by 22
Who Is Spreading Avian Influenza in the Moving Duck Flock Farming Network of Indonesia?
Henning, J., Pfeiffer, D. U., Stevenson, M. A., Yulianto, D., Priyono, W., & Meers, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152123 · Cited by 23
The effect of network topology on the spread of computer viruses: a modelling study
Yang, L., & Yang, X. (2016) · International Journal of Computer Mathematics · doi:10.1080/00207160.2016.1226499 · Cited by 22
Steady-State Dynamics of the Forest Fire Model on Complex Networks
Bancal, J.-D., & Pastor‐Satorras, R. (2009) · RECERCAT (Consorci de Serveis Universitaris de Catalunya) · Cited by 22
Discrete-time moment closure models for epidemic spreading in populations of interacting individuals
Frasca, M., & Sharkey, K. J. (2016) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2016.03.024 · Cited by 22
Multiple random walks on complex networks: A harmonic law predicts search time
Weng, T., Zhang, J., SMALL, M. P., & Hui, P. (2017) · Physical review. E · doi:10.1103/physreve.95.052103 · Cited by 22
Local and global epidemic outbreaks in populations moving in inhomogeneous environments
Buscarino, A., Fortuna, L., Frasca, M., & Rizzo, A. (2014) · Physical Review E · doi:10.1103/physreve.90.042813 · Cited by 21
Persistence, extinction and spatio-temporal synchronization of SIRS spatial models
Liu, Q.-X., Wang, R.-H., & Jin, Z. (2009) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2009/07/p07007 · Cited by 21
Properties of evolving e-mail networks
Wang, J., & Wilde, P. D. (2004) · Physical Review E · doi:10.1103/physreve.70.066121 · Cited by 21
Martin, R. J., Kearney, M. J., & Craster, R. V. (2019) · Journal of Physics A Mathematical and Theoretical · doi:10.1088/1751-8121/ab0836 · Cited by 20
Hitting and trapping times on branched structures
Agliari, E., Sartori, F., Cattivelli, L., & Cassi, D. (2015) · Physical Review E · doi:10.1103/physreve.91.052132 · Cited by 20
Analysis of sexually transmitted disease spreading in heterosexual and homosexual populations
Zhang, J., Jin, Z., & Chen, Y. (2013) · Mathematical Biosciences · doi:10.1016/j.mbs.2013.01.005 · Cited by 20
Spatio-temporal waves and targeted vaccination in recurrent epidemic network models
Litvak-Hinenzon, A., & Stone, L. (2008) · Journal of The Royal Society Interface · doi:10.1098/rsif.2008.0343 · Cited by 22
THE SIS MODEL WITH TIME DELAY ON COMPLEX NETWORKS
Xu, X., & Chen, G. (2009) · International Journal of Bifurcation and Chaos · doi:10.1142/s021812740902324x · Cited by 20
Kasprzak, R. (2012) · Journal of Telecommunications and Information Technology · Cited by 20
Smart Rewiring: Improving Network Robustness Faster
Bai, L., Xiao, Y., Hou, L., & Lao, S. (2015) · Chinese Physics Letters · doi:10.1088/0256-307x/32/7/078901 · Cited by 20
Understanding task-driven information flow in collaborative networks
Miao, G., Tao, S., Cheng, W., Moulic, R., Moser, L. E., Lo, D., & Yan, X. (2012) · International World Wide Web Conference (WWW) · doi:10.1145/2187836.2187951 · Cited by 19
Optimal Attack Strategy in Random Scale-Free Networks Based on Incomplete Information
Li, J., Wu, J. J., Li, Y., Deng, H., & Tan, Y. (2011) · Chinese Physics Letters · doi:10.1088/0256-307x/28/6/068902 · Cited by 19
Newman, M. E. J. (2018) · Oxford University Press eBooks · doi:10.1093/oso/9780198805090.003.0007 · Cited by 25
Zhang, Z., Zhang, Y., Zhou, S., Yin, M., & Guan, J. (2009) · Journal of Mathematical Physics · doi:10.1063/1.3094757 · Cited by 19
Aldana, M., & Larralde, H. (2004) · Physical Review E · doi:10.1103/physreve.70.066130 · Cited by 19
Hunting for a moving target on a complex network
Weng, T., Zhang, J., SMALL, M. P., & Hui, P. (2017) · Europhysics Letters (EPL) · doi:10.1209/0295-5075/119/48006 · Cited by 19
Roth, C. (2008) · Revue Française de Sociologie · doi:10.3917/rfs.493.0523 · Cited by 17
An Immune-Based Model for Computer Virus Detection
Li, T., Liu, X., & Li, H. (2005) · Lecture notes in computer science · doi:10.1007/11599371_6 · Cited by 19
Propagation of interacting diseases on multilayer networks
Zhou, S., Xu, S., Wang, L., Liu, Z., Chen, G., & Wang, X. (2018) · Physical review. E · doi:10.1103/physreve.98.012303 · Cited by 18
Information spreading with relative attributes on signed networks
Niu, Y., Qu, C., Wang, G., Wu, J., & Yan, G. (2020) · Information Sciences · doi:10.1016/j.ins.2020.11.042 · Cited by 18
Epidemic spreading in networks with nonrandom long-range interactions
Estrada, E., Mutombo, F. K., & Valverde-Colmeiro, A. (2011) · Physical Review E · doi:10.1103/physreve.84.036110 · Cited by 18
Crossover behavior in a communication network
Singh, B. K., & Gupte, N. (2003) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.68.066121 · Cited by 18
On the numerical study of percolation and epidemic critical properties in networks
Castellano, C., & Pastor‐Satorras, R. (2016) · The European Physical Journal B · doi:10.1140/epjb/e2016-60953-5 · Cited by 17
Modeling Epidemic Spreading in Complex Networks: Concurrency and Traffic
Meloni, S., Arenas, À., Gómez, S., Borge‐Holthoefer, J., & Moreno, Y. (2011) · Springer optimization and its applications · doi:10.1007/978-1-4614-0754-6_15 · Cited by 16
Effect of resource constraints on intersimilar coupled networks
Shai, S., & Dobson, S. (2012) · Physical Review E · doi:10.1103/physreve.86.066120 · Cited by 17
Modeling social worm propagation for advanced persistent threats
Zhou, P., Gu, X., Nepal, ., & Zhou, J. (2021) · Computers & Security · doi:10.1016/j.cose.2021.102321 · Cited by 17
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review