ArticleScientific reports2015
The Scaling of Human Contacts and Epidemic Processes in Metapopulation Networks.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Physical partisan proximity outweighs online ties in predicting US voting outcomes.PNAS nexus · 2025Article
- Crime, inequality and public health: a survey of emerging trends in urban data science.Frontiers in big data · 2023Review
- Effects of incomplete inter-hospital network data on the assessment of transmission dynamics of hospital-acquired infections.PLoS computational biology · 2021Article
- Forecasting influenza activity using machine-learned mobility map.Nature communications · 2021Article
- A targeted e-learning approach for keeping universities open during the COVID-19 pandemic while reducing student physical interactions.PloS one · 2021Article
- Article
- Intervention threshold for epidemic control in susceptible-infected-recovered metapopulation models.Physical review. E · 2019Article
- Measuring distance through dense weighted networks: The case of hospital-associated pathogens.PLoS computational biology · 2017Article
- The scaling of crime concentration in cities.PloS one · 2017Article
- Pattern transitions in spatial epidemics: Mechanisms and emergent properties.Physics of life reviews · 2016Review
- Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data.The Journal of infectious diseases · 2016Review
- Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation.Scientific reports · 2016Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We study the dynamics of reaction-diffusion processes on heterogeneous metapopulation networks where interaction rates scale with subpopulation sizes. We first present new empirical evidence, based on the analysis of the interactions of 13 million users on Twitter, that supports the scaling of human interactions with population size with an exponent γ ranging between 1.11 and 1.21, as observed in recent studies based on mobile phone data. We then integrate such observations into a reaction- diffusion metapopulation framework. We provide an explicit analytical expression for the global invasion threshold which sets a critical value of the diffusion rate below which a contagion process is not able to spread to a macroscopic fraction of the system. In particular, we consider the Susceptible-Infectious-Recovered epidemic model. Interestingly, the scaling of human contacts is found to facilitate the spreading dynamics. This behavior is enhanced by increasing heterogeneities in the mobility flows coupling the subpopulations. Our results show that the scaling properties of human interactions can significantly affect dynamical processes mediated by human contacts such as the spread of diseases, ideas and behaviors.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.