The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Epidemic dynamics and endemic states in complex networks
Open accessAbstract
We study by analytical methods and large scale simulations a dynamical model for the spreading of epidemics in complex networks. In networks with exponentially bounded connectivity we recover the usual epidemic behavior with a threshold defining a critical point below that the infection prevalence is null. On the contrary, on a wide range of scale-free networks we observe the absence of an epidemic threshold and its associated critical behavior. This implies that scale-free networks are prone to the spreading and the persistence of infections whatever spreading rate the epidemic agents might possess. These results can help understanding computer virus epidemics and other spreading phenomena on communication and social networks.
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Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Cited by
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015) · Reviews of Modern Physics · doi:10.1103/revmodphys.87.925 · Cited by 3,697
Self-citationThe structure and dynamics of multilayer networks
Boccaletti, S., Bianconi, G., Criado, R., del Genio, C. I., Gómez-Gardeñes, J., Romance, M., Sendiña-Nadal, I., Wang, Z., & Zanin, M. (2014) · Physics Reports · doi:10.1016/j.physrep.2014.07.001 · Cited by 3,125
Contagion in financial networks
Gai, P., & Kapadia, S. (2010) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2009.0410 · Cited by 1,163
A simple guide to chaos and complexity
Rickles, D., Hawe, P., & Shiell, A. (2007) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2006.054254 · Cited by 438
Epidemic spreading on interconnected networks
Saumell-Mendiola, A., Serrano, M. Á., & Boguñá, M. (2012) · Physical Review E · doi:10.1103/physreve.86.026106 · Cited by 344
Maximal planar networks with large clustering coefficient and power-law degree distribution
Zhou, T., Yan, G., & Wang, B.-H. (2005) · Physical Review E · doi:10.1103/physreve.71.046141 · Cited by 265
Information cascades in complex networks
Jalili, M., & Perc, M. (2017) · Journal of Complex Networks · doi:10.1093/comnet/cnx019 · Cited by 248
Goscé, L., & Johansson, A. (2018) · Environmental Health · doi:10.1186/s12940-018-0427-5 · Cited by 147
The interplay between social networks and culture: theoretically and among whales and dolphins
Cantor, M., & Whitehead, H. (2013) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0340 · Cited by 149
Metadata
- Authors
- Pastor-Satorras, R., & Vespignani, A.
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2001-05-22
- Volume
- 63
- Issue
- 6
- Pages
- 066117-066117
- ISSN
- 1063-651X (ISSN-L)
- 1095-3787
- OpenAlex
- W2136525561
- Cited by
- 1,682
- References
- 3
- FWCI
- 22.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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