Evidence map›Paper›PMID 29515905›Full record

ReviewRoyal Society open science2018

The emergence of consensus: a primer.

Andrea Baronchelli

Abstract readReview
In one paragraph

Review in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Observational
  2. Group size effects and collective misalignment in LLM multi-agent systems.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Consensus Formation and Change are Enhanced by Neutrality.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. A mechanistic model of gossip, reputations, and cooperation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Shaping new norms for AI.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. COVID-19 and Public Health: Analysis of Opinions in Social Media.International journal of environmental research and public health · 2023
    Article
  18. Article
  19. From the origin of life to pandemics: emergent phenomena in complex systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  20. 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

1 author.

Andrea BaronchelliDepartment of Mathematics, City, University of London, Northampton Square, London EC1V 0HB, UK.ORCID 0000-0002-0255-0829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The origin of population-scale coordination has puzzled philosophers and scientists for centuries. Recently, game theory, evolutionary approaches and complex systems science have provided quantitative insights on the mechanisms of social consensus. However, the literature is vast and widely scattered across fields, making it hard for the single researcher to navigate it. This short review aims to provide a compact overview of the main dimensions over which the debate has unfolded and to discuss some representative examples. It focuses on those situations in which consensus emerges 'spontaneously' in the absence of centralized institutions and covers topics that include the macroscopic consequences of the different microscopic rules of behavioural contagion, the role of social networks and the mechanisms that prevent the formation of a consensus or alter it after it has emerged. Special attention is devoted to the recent wave of experiments on the emergence of consensus in social systems.

Indexed as

computational social scienceexperimentsmodellingnetwork sciencesocial consensusspontaneous ordering

Identifiers

PMID29515905
PMCPMC5830794

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.