Evidence map›Paper›PMID 27493780›Full record

ArticleRoyal Society open science2016

Social networks predict selective observation and information spread in ravens.

Ipek G Kulahci, Daniel I Rubenstein, Thomas Bugnyar, William Hoppitt, Nace Mikus, Christine Schwab

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.7field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Network indicators of cultural resilience to anthropogenic removals in animal societies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
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  9. Review
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  16. Article
  17. Negative emotional contagion and cognitive bias in common ravens (Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Review
  19. How does cognition shape social relationships?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Review
  20. The conceptual foundations of network-based diffusion analysis: choosing networks and interpreting results.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    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 at 3 institutions in 3 countries.

Ipek G KulahciDepartment of Ecology and Evolutionary Biology , Princeton University , Princeton, NJ 08544 , USA.ORCID 0000-0003-0104-0365
Daniel I RubensteinDepartment of Ecology and Evolutionary Biology , Princeton University , Princeton, NJ 08544 , USA.
Thomas BugnyarDepartment of Cognitive Biology , University of Vienna , Althanstrasse 14, 1090 Vienna , Austria.
William HoppittSchool of Biology , Leeds University , Leeds , UK.
Nace MikusDepartment of Cognitive Biology , University of Vienna , Althanstrasse 14, 1090 Vienna , Austria.
Christine SchwabDepartment of Cognitive Biology, University of Vienna, Althanstrasse 14, 1090 Vienna, Austria; Messerli Research Institute, University of Veterinary Medicine Vienna, Medical University of Vienna and University of Vienna, 1210 Vienna, Austria.
University of Vienna · ATPrinceton University · USUniversity of Leeds · GB

Funding

Austrian Science Fund FWF Y 366
6 · The paper itself

Abstract

Animals are predicted to selectively observe and learn from the conspecifics with whom they share social connections. Yet, hardly anything is known about the role of different connections in observation and learning. To address the relationships between social connections, observation and learning, we investigated transmission of information in two raven (Corvus corax) groups. First, we quantified social connections in each group by constructing networks on affiliative interactions, aggressive interactions and proximity. We then seeded novel information by training one group member on a novel task and allowing others to observe. In each group, an observation network based on who observed whose task-solving behaviour was strongly correlated with networks based on affiliative interactions and proximity. Ravens with high social centrality (strength, eigenvector, information centrality) in the affiliative interaction network were also central in the observation network, possibly as a result of solving the task sooner. Network-based diffusion analysis revealed that the order that ravens first solved the task was best predicted by connections in the affiliative interaction network in a group of subadult ravens, and by social rank and kinship (which influenced affiliative interactions) in a group of juvenile ravens. Our results demonstrate that not all social connections are equally effective at predicting the patterns of selective observation and information transmission.

Indexed as

Corvus coraxinformation transmissionnetwork-based diffusion analysisobservation networksorder of acquisition diffusion analysissocial networks

Identifiers

PMID27493780
PMCPMC4968472
OpenAlexW2473718583

What OpenQuestion holds

Textmetadata
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.