Evidence map›Paper›PMID 31213174›Full record

ArticleJournal of the Royal Society, Interface2019

Consensus and polarization in competing complex contagion processes.

Vítor V Vasconcelos, Simon A Levin, Flávio L Pinheiro

Abstract readConsensus Statement
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Hyperedge approximation for stochastic processes on higher-order networks.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Social learning with complex contagion.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. The contribution of movement to social network structure and spreading dynamics under simple and complex transmission.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  8. A mechanistic model of gossip, reputations, and cooperation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Segregation and clustering of preferences erode socially beneficial coordination.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  14. Link recommendation algorithms and dynamics of polarization in online social networks.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Vítor V Vasconcelos1 Department of Ecology and Evolutionary Biology, Princeton University , Princeton, NJ , USA.
Simon A Levin1 Department of Ecology and Evolutionary Biology, Princeton University , Princeton, NJ , USA.
Flávio L Pinheiro2 Nova Information Management School (NOVA IMS), Universidade Nova de Lisboa , Lisboa , Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of adoption of new information depends on reinforcement from multiple sources in a way that often cannot be described by simple contagion processes. In such cases, contagion is said to be complex. Complex contagion happens in the diffusion of human behaviours, innovations and knowledge. Based on that evidence, we propose a model that considers multiple, potentially asymmetric and competing contagion processes and analyse its respective population-wide dynamics, bringing together ideas from complex contagion, opinion dynamics, evolutionary game theory and language competition by shifting the focus from individuals to the properties of the diffusing processes. We show that our model spans a dynamical space in which the population exhibits patterns of consensus, dominance, and, importantly, different types of polarization, a more diverse dynamical environment that contrasts with single simple contagion processes. We show how these patterns emerge and how different population structures modify them through a natural development of spatial correlations: structured interactions increase the range of the dominance regime by reducing that of dynamic polarization, tight modular structures can generate structural polarization, depending on the interplay between fundamental properties of the processes and the modularity of the interaction network.

Indexed as

BehaviorLanguageModels, BiologicalPopulation DynamicsGame TheoryHumanscomplex contagion processesinformation diffusionpopulation dynamicssocial influencesocial networksspatial correlations

Identifiers

PMID31213174
PMCPMC6597764

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.