ArticlePLoS computational biology2013
Bursts of vertex activation and epidemics in evolving networks.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 148 citations in OpenAlex.
- Structural inequalities exacerbate infection disparities.Scientific reports · 2025Article
- Amplification of the power of network hubs and degree skewness over infectious disease spread during lulls.PloS one · 2025Article
- Bursts of communication increase opinion diversity in the temporal Deffuant model.Scientific reports · 2024Article
- Routing Strategies for Isochronal-Evolution Random Matching Network.Entropy (Basel, Switzerland) · 2023Article
- The dynamical formation of ephemeral groups on networks and their effects on epidemics spreading.Scientific reports · 2022Article
- Article
- Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics.PloS one · 2021Article
- Information diffusion backbones in temporal networks.Scientific reports · 2019Article
- Correlated bursts in temporal networks slow down spreading.Scientific reports · 2018Article
- Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Epidemic Threshold in Continuous-Time Evolving Networks.Physical review letters · 2018Article
- Lifetime-preserving reference models for characterizing spreading dynamics on temporal networks.Scientific reports · 2018Article
- Burstiness and tie activation strategies in time-varying social networks.Scientific reports · 2017Article
- Prediction of Pig Trade Movements in Different European Production Systems Using Exponential Random Graph Models.Frontiers in veterinary science · 2017Article
- Recalibrating disease parameters for increasing realism in modeling epidemics in closed settings.BMC infectious diseases · 2016Article
- Individual-based approach to epidemic processes on arbitrary dynamic contact networks.Scientific reports · 2016Article
- Information content of contact-pattern representations and predictability of epidemic outbreaks.Scientific reports · 2015Article
- Diffusion on networked systems is a question of time or structure.Nature communications · 2015Article
- Predicting epidemic risk from past temporal contact data.PLoS computational biology · 2015Article
- The basic reproduction number as a predictor for epidemic outbreaks in temporal networks.PloS one · 2015Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The dynamic nature of contact patterns creates diverse temporal structures. In particular, empirical studies have shown that contact patterns follow heterogeneous inter-event time intervals, meaning that periods of high activity are followed by long periods of inactivity. To investigate the impact of these heterogeneities in the spread of infection from a theoretical perspective, we propose a stochastic model to generate temporal networks where vertices make instantaneous contacts following heterogeneous inter-event intervals, and may leave and enter the system. We study how these properties affect the prevalence of an infection and estimate R(0), the number of secondary infections of an infectious individual in a completely susceptible population, by modeling simulated infections (SI and SIR) that co-evolve with the network structure. We find that heterogeneous contact patterns cause earlier and larger epidemics in the SIR model in comparison to homogeneous scenarios for a vast range of parameter values, while smaller epidemics may happen in some combinations of parameters. In the case of SI and heterogeneous patterns, the epidemics develop faster in the earlier stages followed by a slowdown in the asymptotic limit. For increasing vertex turnover rates, heterogeneous patterns generally cause higher prevalence in comparison to homogeneous scenarios with the same average inter-event interval. We find that [Formula: see text] is generally higher for heterogeneous patterns, except for sufficiently large infection duration and transmission probability.
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Registered trials
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.