ArticleJournal of the Royal Society, Interface2020
Decoding collective communications using information theory tools.
Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
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Who cites it
7 citing papers in PubMed, 42 citations in OpenAlex.
- Formative reasons for state-to-state influences on firearm acquisition in the U.S.SSM - population health · 2024Article
- Human Crowds as Social Networks: Collective Dynamics of Consensus and Polarization.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Article
- Fluctuations in T cell receptor and pMHC interactions regulate T cell activation.Journal of the Royal Society, Interface · 2022Article
- Article
- Body language signals for rodent social communication.Current opinion in neurobiology · 2021Review
- Collective Emotional Contagion in Zebrafish.Frontiers in behavioral neuroscience · 2021Article
- Transfer Entropy Analysis of Interactions between Bats Using Position and Echolocation Data.Entropy (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 11 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Organisms have evolved sensory mechanisms to extract pertinent information from their environment, enabling them to assess their situation and act accordingly. For social organisms travelling in groups, like the fish in a school or the birds in a flock, sharing information can further improve their situational awareness and reaction times. Data on the benefits and costs of social coordination, however, have largely allowed our understanding of why collective behaviours have evolved to outpace our mechanistic knowledge of how they arise. Recent studies have begun to correct this imbalance through fine-scale analyses of group movement data. One approach that has received renewed attention is the use of information theoretic (IT) tools like
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Registered trials
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.