The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Modelling disease outbreaks in realistic urban social networks
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Citations
Cites
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Epidemic processes in complex networks
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Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
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“For instance, household size, class size, transport statistics, and workplace size distribution have been used in recent models to define the contact structure [2, 3, 33, 34] .”
MethodSuperspreading and the effect of individual variation on disease emergence
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The Hidden Geometry of Complex, Network-Driven Contagion Phenomena
Brockmann, D., & Helbing, D. (2013) · Science · doi:10.1126/science.1245200 · Cited by 1,253
Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks
Aral, S., Muchnik, L., & Sundararajan, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908800106 · Cited by 1,207
Network theory and SARS: predicting outbreak diversity
Meyers, L. A., Pourbohloul, B., Newman, M. E. J., Skowronski, D. M., & Brunham, R. C. (2005) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2004.07.026 · Cited by 705
The role of human movement in the transmission of vector-borne pathogens
Stoddard, S. T., Morrison, A. C., Vazquez-Prokopec, G. M., Paz Soldan, V., Kochel, T. J., Kitron, U., Elder, J. P., & Scott, T. W. (2009) · PLoS Neglected Tropical Diseases · doi:10.1371/journal.pntd.0000481 · Cited by 573
Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows
Roth, C., Kang, S. M., Batty, M., & Barthélemy, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0015923 · Cited by 461
The scaling of human interactions with city size
Schläpfer, M., Bettencourt, L. M. A., Grauwin, S., Raschke, M., Claxton, R., Smoreda, Z., West, G. B., & Ratti, C. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0789 · Cited by 356
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Uncovering the spatial structure of mobility networks
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Asher, L., Collins, L. M., Ortiz-Pelaez, A., Drewe, J. A., Nicol, C. J., & Pfeiffer, D. U. (2009) · Journal of The Royal Society Interface · doi:10.1098/rsif.2009.0221 · Cited by 102
Deploying nEmesis: Preventing Foodborne Illness by Data Mining Social Media
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Metadata
- Authors
- Eubank, S., Guclu, H., Anil Kumar, V. S., Marathe, M. V., Srinivasan, A., Toroczkai, Z., & Wang, N.
- Venue
- Nature
- Published
- 2004-05-13
- Volume
- 429
- Issue
- 6988
- Pages
- 180-184
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1965499304
- Cited by
- 2,090
- References
- 4
- FWCI
- 43.89
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
