ArticleScientific reports2016
Explosive Contagion in Networks.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Hyperedge overlap drives explosive transitions in systems with higher-order interactions.Nature communications · 2025Article
- Critical Role of Monooxygenase in Biodegradation of 2,4,6-Trinitrotoluene byMolecules (Basel, Switzerland) · 2023Article
- COVID-19: Estimation of the transmission dynamics in Spain using a stochastic simulator and black-box optimization techniques.Computer methods and programs in biomedicine · 2021Article
- Degradation of 2,4,6-Trinitrotoluene (TNT): Involvement of Protocatechuate 3,4-Dioxygenase (P34O) inToxics · 2021Article
- Modeling and controlling the spread of epidemic with various social and economic scenarios.Chaos, solitons, and fractals · 2021Article
- When a luxury brand bursts: Modelling the social media viral effects of negative stereotypes adoption leading to brand hate.Journal of business research · 2021Article
- A toy model for the epidemic-driven collapse in a system with limited economic resource.The European physical journal. B · 2021Article
- Interplay between competitive and cooperative interactions in a three-player pathogen system.Royal Society open science · 2020Article
- Dynamical correlations and pairwise theory for the symbiotic contact process on networks.Physical review. E · 2019Article
- Coevolution spreading in complex networks.Physics reports · 2019Review
- Pokémon GO Within the Context of Family Health: Retrospective Study.JMIR pediatrics and parenting · 2018Article
- A paradox of epidemics between the state and parameter spaces.Scientific reports · 2018Article
- Shortest Paths in Multiplex Networks.Scientific reports · 2017Article
- Spreading to localized targets in complex networks.Scientific reports · 2016Article
- Hysteresis loop of nonperiodic outbreaks of recurrent epidemics.Physical review. E · 2016Article
- Limitations of discrete-time approaches to continuous-time contagion dynamics.Physical review. E · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spread of social phenomena such as behaviors, ideas or products is an ubiquitous but remarkably complex phenomenon. A successful avenue to study the spread of social phenomena relies on epidemic models by establishing analogies between the transmission of social phenomena and infectious diseases. Such models typically assume simple social interactions restricted to pairs of individuals; effects of the context are often neglected. Here we show that local synergistic effects associated with acquaintances of pairs of individuals can have striking consequences on the spread of social phenomena at large scales. The most interesting predictions are found for a scenario in which the contagion ability of a spreader decreases with the number of ignorant individuals surrounding the target ignorant. This mechanism mimics ubiquitous situations in which the willingness of individuals to adopt a new product depends not only on the intrinsic value of the product but also on whether his acquaintances will adopt this product or not. In these situations, we show that the typically smooth (second order) transitions towards large social contagion become explosive (first order). The proposed synergistic mechanisms therefore explain why ideas, rumours or products can suddenly and sometimes unexpectedly catch on.
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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.