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The scaling of human interactions with city size
Open accessAbstract
The size of cities is known to play a fundamental role in social and economic life. Yet, its relation to the structure of the underlying network of human interactions has not been investigated empirically in detail. In this paper, we map society-wide communication networks to the urban areas of two European countries. We show that both the total number of contacts and the total communication activity grow superlinearly with city population size, according to well-defined scaling relations and resulting from a multiplicative increase that affects most citizens. Perhaps surprisingly, however, the probability that an individual's contacts are also connected with each other remains largely unaffected. These empirical results predict a systematic and scale-invariant acceleration of interaction-based spreading phenomena as cities get bigger, which is numerically confirmed by applying epidemiological models to the studied networks. Our findings should provide a microscopic basis towards understanding the superlinear increase of different socioeconomic quantities with city size, that applies to almost all urban systems and includes, for instance, the creation of new inventions or the prevalence of certain contagious diseases.
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Citations
Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Granovetter, M. S. (1973) · American Journal of Sociology · doi:10.1086/225469 · Cited by 40,491
Birds of a Feather: Homophily in Social Networks
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001) · Annual Review of Sociology · doi:10.1146/annurev.soc.27.1.415 · Cited by 18,567
Social Network Analysis: Methods and Applications
Wasserman, S. S., & Faust, K. (1994) · Cited by 18,005
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Complex networks: structure and dynamics
BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010
The Death and Life of Great American Cities
Row, A. T., & Jacobs, J. M. (1962) · The Yale Law Journal · doi:10.2307/794509 · Cited by 9,085
The Death and Life of Great American Cities
Jacobs, J. (2015) · Wiley eBooks · doi:10.1002/9781119084679.ch4 · Cited by 8,053
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
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
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Daniel, M. N. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.3.2019.tde-06052019-151426
Dense graphs with scale-free feature.Preprint
Ma, F., Wang, X., Wang, P., & Luo, X. (2019) · arXiv (Cornell University)
Fractal Patterns in Spatial Distribution of Population by Age GroupPreprint
Ito, M. I., & Ohnishi, T. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.03935
Social Neuroscience in Global Mental Health
Kohrt, B. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.024 · Cited by 1
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Moses, O. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.022
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West, G. L., & Bohbot, V. D. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.019
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Mora, E. H., Jackson, J. J., Heine, C., West, G. B., Yang, V. C., & Kempes, C. P. (2021) · RePEc: Research Papers in Economics · doi:10.48550/arxiv.2102.13150
Self-citationAvaliação paradigmática da saúde paulista sob as lentes da complexidade
Soares, G. T. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.96.2020.tde-21072020-143540
Analysis of complex socio-economical systems
Bokányi, E. (2019) · Eötvös Loránd Tudományegyetem · doi:10.15476/elte.2019.054
Silva, J. R. V. D., Lima, S. A. D. O., & Camargo, E. E. S. (2021) · Brazilian Journal of Development · doi:10.34117/bjdv7n10-323
How Social Coordination and Cooperation are Achieved
Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.013
Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.001
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Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.004
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Kirmayer, L. J., Worthman, C. M., Kitayama, S., Lemelson, R., & Cummings, C. A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.029
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(2014) · Nature · doi:10.1038/511128a
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Jacobs‐Crisioni, C., Dijkstra, L., & Kučas, A. (2024) · Land · doi:10.3390/land13010077
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van Raan, A. F. J. (2024) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/23998083241237310
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Sefat-E-Barket, & Karim, R. (2024) · Aerobiologia · doi:10.1007/s10453-024-09815-z
Génois, M., & Barrat, A. (2017) · Figshare · doi:10.5281/zenodo.1117883
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He, R., Rickardsson, J., & Mellander, C. (2024) · The Annals of Regional Science · doi:10.1007/s00168-024-01303-z
Zheng, Y., & Yang, L. (2024) · Lecture notes in operations research · doi:10.1007/978-981-97-1949-5_50
Jin, S., Shapiro, B. R., Endert, A., & Andris, C. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3719809
Ribeiro, F. L., Fagundes, R. L., & Diego Rybski, A. (2025) · Environment and Planning B Urban Analytics and City Science · doi:10.1177/23998083251348682
Borges, L., Fischer, B. B., & Mena‐Chalco, J. P. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5339656
Daniotti, S., Hartog, M., & Neffke, F. M. H. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2501504122 · Cited by 1
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Chen, R., Lin, Y., Yan, H., Liu, J., Liu, Y., & Li, Y. (2024) · Figshare · doi:10.6084/m9.figshare.26705301
Ferguson, S. T., & Kobayashi, T. (2022) · Figshare · doi:10.6084/m9.figshare.21303087
Philip, D. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83608-124-120261003
Spatiotemporal determinants of vector-borne disease outbreaks
Poudyal, B., & Ghoshal, G. (2026) · Physical review. E · doi:10.1103/kyxw-g9kj
Density and disease: A systematic review of COVID‐19 transmission and policy across scales and time
Benita, F. (2026) · Canadian Geographies / Géographies canadiennes · doi:10.1111/cag.70054
Wandering in cities : a statistical physics approach to urban theory
Louf, R. (2015) · theses.fr (ABES) · doi:10.70675/1cf807e9zff91z497cz9920za4692ef5adc5
Cebeillac, A. (2018) · theses.fr (ABES) · doi:10.70675/5d547c6fzffe0z4316zb36cz89231dffc829
Decoding the city: multiscale spatial information in urban income distributions
Bettencourt, L. M. A., Rodriguez, I., Kemp, J., & Lobo, J. (2026) · EPJ Data Science · doi:10.1140/epjds/s13688-026-00658-x · Cited by 1
Self-citationStreet network centrality and its scaling with urban population
Fagundes, R. L., Piva, G. G., da Mata, A. S., & Ribeiro, F. L. (2026) · Journal of Complex Networks · doi:10.1093/comnet/cnag008
Luo, X., Zhang, P., Li, Y., Xu, Q., Jia, B., Gao, Z., & Gao, L. (2026) · Cities · doi:10.1016/j.cities.2026.107374
Comparative archaeology reveals recurrent but nondeterministic pathways through complexification
Peterson, C. E., Berrey, C. A., & Drennan, R. D. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2610959123
Luo, Y., Zou, G., & Liu, Q. (2026) · Frontiers of Architectural Research · doi:10.1016/j.foar.2026.07.003
Lin, J., He, B., You, X., & Lin, M. (2026) · Applied Geography · doi:10.1016/j.apgeog.2026.104175
Mukhia, K., Luwang, S. R., Nurujjaman, M., Chakraborty, T., Saha, S., & Hens, C. (2026) · PLoS ONE · doi:10.1371/journal.pone.0358972
Lin, J., & Wu, K. (2026) · Applied Spatial Analysis and Policy · doi:10.1007/s12061-026-10030-1
Cities as Crucibles of Creativity
Heywood, J. (2026) · Springer eBooks · doi:10.1007/978-3-032-36361-9_5
Ma, H., & Kwan, M. (2026) · Transactions in GIS · doi:10.1111/tgis.70434
Yang, H., Yao, A., Quach, T. H. T., Zalwango, S. K., Kakaire, R., Kiwanuka, N., & Whalen, C. C. (2026) · Epidemics · doi:10.1016/j.epidem.2026.100958
Metadata
- Authors
- Schläpfer, M., Bettencourt, L. M. A., Grauwin, S., Raschke, M., Claxton, R., Smoreda, Z., West, G. B., & Ratti, C.
- Affiliations
- Santa Fe Institute (US)
- Massachusetts Institute of Technology (US)
- Raschke Software Engineering, 65195 Wiesbaden, Germany
- BT Group (United Kingdom) (GB)
- Orange (France) (FR)
- Corresponding author
- Schläpfer, Markus
- ORCID
- Venue
- Journal of The Royal Society Interface
- Publisher
- The Royal Society
- Published
- 2014-09-06
- Volume
- 11
- Issue
- 98
- Pages
- 20130789-20130789
- ISSN
- 1742-5662 (ISSN-L)
- 1742-5689
- PMC
- PMC4233681
- OpenAlex
- W2099610463
- Cited by
- 356
- References
- 60
- Citations by year
- 2026: 20 · 2025: 21 · 2024: 23 · 2023: 20 · 2022: 28 · 2021: 37 · 2020: 64 · 2019: 30 · 2018: 25 · 2017: 22 · 2016: 26 · 2015: 24 · 2014: 14
- FWCI
- 18.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of The Royal Society Interface (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation
- Rockefeller Foundation
- James S. McDonnell Foundation (220020195)
- John Templeton Foundation (15705)
- Banco Bilbao Vizcaya Argentaria
- Army Research Office (W911NF1210097)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Social Sciences › Urban Studies › Global Urban Networks and Dynamics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Agglomeration and Urban Systems
- Keywords
- city size, superlinear scaling, communication networks, urban population, contact networks, scale invariance, epidemic spread, disease transmission
- MeSH terms
- Cities, Communication, United Kingdom, Humans, Population Density, Portugal, Social Behavior, Socioeconomic Factors, Urban Population, Urbanization, Models, Statistical, Cell Phone
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