Evidence map›Paper›PMID 39927187›Full record

ArticleBehavioral ecology and sociobiology2025

Animal social networks are robust to changing association definitions.

Alex Hoi Hang Chan, Jamie Dunning, Kristina B Beck, Terry Burke, Heung Ying Janet Chik, Daniel Dunleavy, Tim Evans, André Ferreira, Babette Fourie, Simon C Griffith and 2 more

Abstract read
In one paragraph

Article in Behavioral ecology and sociobiology, 2025. 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. Not so social in old age: demography as one driver of decreasing sociality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    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

12 authors.

Alex Hoi Hang ChanCentre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany.
Jamie DunningDepartment of Life Sciences, Imperial College London, Silwood park, Ascot, UK.
Kristina B BeckDepartment of Biology, Edward Grey Institute, University of Oxford, Oxford, UK.
Terry BurkeEcology and Evolutionary Biology, School of Biosciences, The University of Sheffield, Sheffield, UK.
Heung Ying Janet ChikGroningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, Netherlands.
Daniel DunleavyDepartment of Life Sciences, Imperial College London, Silwood park, Ascot, UK.
Tim EvansCenter for Complexity Science, Imperial College London, London, UK.
André FerreiraCentre d'Ecologie Fonctionnelle et Evolutive, University Montpellier, Montpellier, France.
Babette FourieCentre d'Ecologie Fonctionnelle et Evolutive, University Montpellier, Montpellier, France.
Simon C GriffithSchool of Natural Sciences, Macquarie University, Sydney, Australia.
Friederike HillemannMax Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Julia SchroederDepartment of Life Sciences, Imperial College London, Silwood park, Ascot, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interconnecting links between individuals in an animal social network are often defined by discrete, directed behaviours, but where these are difficult to observe, a network link (edge) may instead be defined by individuals sharing a space at the same time, which can then be used to infer a social association. The method by which these associations are defined should be informed by the biological significance of edges, and therefore often vary between studies. Identifying an appropriate measure of association remains a challenge to behavioural ecologists. Here, we use automatically recorded feeder visit data from four bird systems to compare three methods to identify a social association: (1) strict time-window, (2) co-occurrence in a group, and (3) arrival-time. We tested the similarity of the resulting networks by comparing the repeatability and sensitivity of individuals' social traits (network degree, strength, betweenness). We found that networks constructed using different methods but applying similar, ecologically relevant definitions of associations based on individuals' spatio-temporal co-occurrence, showed similar characteristics. Our findings suggest that the different methods to construct animal social networks are comparable, but result in subtle differences driven by species biology and feeder design. We urge researchers to carefully evaluate the ecological context of their study systems when making methodological decisions. Specifically, researchers in ecology and evolution should carefully consider the biological relevance of an edge in animal social networks, and the implications of adopting different definitions. Supplementary Information: The online version contains supplementary material available at 10.1007/s00265-025-03559-7.

Indexed as

Animal behaviourGambit of the groupRFIDSocialitySocial network

Identifiers

PMID39927187
PMCPMC11802709

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LicenceCC BY
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Registered trials

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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.