Evidence map›Paper›PMID 32206979›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2021

Searching for structure in collective systems.

Colin R Twomey, Andrew T Hartnett, Matthew M G Sosna, Pawel Romanczuk

Abstract read
In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Inferring social influence in animal groups across multiple timescales.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

4 authors.

Colin R TwomeyDepartment of Biology, University of Pennsylvania, Philadelphia, PA, USA. crtwomey@sas.upenn.edu.ORCID https://orcid.org/0000-0002-7368-2861
Andrew T Hartnett, West Hartford, CT, USA.ORCID https://orcid.org/0000-0002-4312-6370
Matthew M G SosnaDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA.
Pawel RomanczukInstitute for Theoretical Biology, Department of Biology, Humboldt Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-4733-998X

Funding

German Science Foundation RO 47766/2-1
6 · The paper itself

Abstract

From fish schools and bird flocks to biofilms and neural networks, collective systems in nature are made up of many mutually influencing individuals that interact locally to produce large-scale coordinated behavior. Although coordination is central to what it means to behave collectively, measures of large-scale coordination in these systems are ad hoc and system specific. The lack of a common quantitative scale makes broad cross-system comparisons difficult. Here we identify a system-independent measure of coordination based on an information-theoretic measure of multivariate dependence and show it can be used in practice to give a new view of even classic, well-studied collective systems. Moreover, we use this measure to derive a novel method for finding the most coordinated components within a system and demonstrate how this can be used in practice to reveal intrasystem organizational structure.

Indexed as

Neural Networks, ComputerAnimalsHumansCollective behaviorCoordinationGroup structureInformation theory

Identifiers

PMID32206979
PMCPMC8629805

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.