Evidence map›Paper›PMID 41221134›Full record

ReviewBehavioral ecology : official journal of the International Society for Behavioral Ecology

Latent layers in social networks and their implications for comparative analyses.

Delphine De Moor, Jordan D A Hart, Daniel W Franks, Lauren J N Brent, Matthew J Silk, Josefine B Brask

Abstract readReview
In one paragraph

Review in Behavioral ecology : official journal of the International Society for Behavioral Ecology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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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.

Delphine De MoorCentre for Research in Animal Behaviour, University of Exeter, Perry Rd, Exeter EX4 4QG, United Kingdom.ORCID https://orcid.org/0000-0003-2474-6125
Jordan D A HartCentre for Research in Animal Behaviour, University of Exeter, Perry Rd, Exeter EX4 4QG, United Kingdom.
Daniel W FranksDepartment of Biology, University of York, York YO10 5DD, United Kingdom.ORCID https://orcid.org/0000-0002-4832-7470
Lauren J N BrentCentre for Research in Animal Behaviour, University of Exeter, Perry Rd, Exeter EX4 4QG, United Kingdom.ORCID https://orcid.org/0000-0002-1202-1939
Matthew J SilkInstitute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Charlotte Auerbach Road, Edinburgh EH9 3FL, United Kingdom.ORCID https://orcid.org/0000-0002-8318-5383
Josefine B BraskCopenhagen Center for Social Data Science (SODAS), University of Copenhagen, Øster Farimagsgade 5, Copenhagen 1357, Denmark.ORCID https://orcid.org/0000-0002-9025-5204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal social systems are remarkably diverse, ranging from solitary individuals to well-connected cooperative groups. Understanding the drivers of this variation is a key question in behavioral ecology and has been the focus of numerous studies linking social structure to ecological, demographic, and life history patterns within groups, population, and species. Equipped with this information, researchers are now turning to investigations that are comparative in nature. However, comparing social networks remains a considerable logistical and analytical challenge. Here, we present the

Indexed as

Bayesian modelscomparative analysisgenerative modelssocial evolutionsocial networkssocial system

Identifiers

PMID41221134
PMCPMC12598393

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.