Evidence map›Paper›PMID 33274999›Full record

ArticlePhysical review letters2020

Heterogeneity Improves Speed and Accuracy in Social Networks.

Bhargav Karamched, Megan Stickler, William Ott, Benjamin Lindner, Zachary P Kilpatrick, Krešimir Josić

Abstract read
In one paragraph

Article in Physical review letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Agents seeking long-term access to the wisdom of the crowd reduce immediate decision-making accuracy.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  3. Article
  4. Article
  5. A Cognitive Computational Approach to Social and Collective Decision-Making.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Quantifying the impact of network structure on speed and accuracy in collective decision-making.Theory in biosciences = Theorie in den Biowissenschaften · 2021
    Article
  13. Article
  14. 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

6 authors.

Bhargav KaramchedDepartment of Mathematics, Florida State University, Tallahassee, Florida 32306, USA.
Megan SticklerDepartment of Mathematics, University of Houston, Houston, Texas 77004, USA.
William OttDepartment of Mathematics, University of Houston, Houston, Texas 77004, USA.
Benjamin LindnerPhysics Department of Humboldt University Berlin, Newtonstraße 15, 12489 Berlin, Germany.
Zachary P KilpatrickDepartment of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado 80309, USA.
Krešimir JosićDepartment of Mathematics, University of Houston, Houston, Texas 77004, USA.

Funding

Expanding the utility of transcriptional bacterial computingR01GM117138 · NIGMS · RICE UNIVERSITY · PI BENNETT, MATTHEW R., JOSIC, KRESIMIR · 2016 to 2019
$2.0M
CRCNS: Decision Making in Changing EnvironmentsR01MH115557 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GOLD, JOSHUA I, JOSIC, KRESIMIR · 2017 to 2020
$1.6M
Connecting neural circuit architecture and experience-driven probabilistic computationsR01EB029847 · NIBIB · UNIVERSITY OF COLORADO · PI KILPATRICK, ZACHARY PETER · 2020 to 2020
$772k
NIBIB NIH HHS R01 EB029847NIGMS NIH HHS R01 GM117138NIMH NIH HHS R01 MH115557
6 · The paper itself

Abstract

How does temporally structured private and social information shape collective decisions? To address this question we consider a network of rational agents who independently accumulate private evidence that triggers a decision upon reaching a threshold. When seen by the whole network, the first agent's choice initiates a wave of new decisions; later decisions have less impact. In heterogeneous networks, first decisions are made quickly by impulsive individuals who need little evidence to make a choice but, even when wrong, can reveal the correct options to nearly everyone else. We conclude that groups comprised of diverse individuals can make more efficient decisions than homogenous ones.

Indexed as

Models, TheoreticalSocial NetworkingDecision Trees

Identifiers

PMID33274999
PMCPMC9477403

What OpenQuestion holds

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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.