ArticleNature communications2017
Control of finite critical behaviour in a small-scale social system.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Beehive scale-free emergent dynamics.Scientific reports · 2024Article
- Valence and interactions in judicial voting.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024Article
- Persistent and responsive collective motion with adaptive time delay.Science advances · 2024Article
- Identifying a developmental transition in honey bees using gene expression data.PLoS computational biology · 2023Article
- Inferring Cultural Landscapes with the Inverse Ising Model.Entropy (Basel, Switzerland) · 2023Article
- Subcritical escape waves in schooling fish.Science advances · 2022Article
- Attractor-Specific and Common Expression Values in Random Boolean Network Models (with a Preliminary Look at Single-Cell Data).Entropy (Basel, Switzerland) · 2022Article
- Introduction to the special issue: quantifying collectivity.Theory in biosciences = Theorie in den Biowissenschaften · 2021Article
- Quantifying the impact of network structure on speed and accuracy in collective decision-making.Theory in biosciences = Theorie in den Biowissenschaften · 2021Article
- Innovations are disproportionately likely in the periphery of a scientific network.Theory in biosciences = Theorie in den Biowissenschaften · 2021Article
- Thermodynamic Efficiency of Interactions in Self-Organizing Systems.Entropy (Basel, Switzerland) · 2021Article
- Collective predator evasion: Putting the criticality hypothesis to the test.PLoS computational biology · 2021Article
- Fitness for Purpose in Online Communities: Community Complexity Framework for Diagnosis and Design of Socio-Technical Systems.Frontiers in psychology · 2021Article
- Functional advantages of Lévy walks emerging near a critical point.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Sensitivity of collective outcomes identifies pivotal components.Journal of the Royal Society, Interface · 2020Article
- Individual and collective encoding of risk in animal groups.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Collective Sensing of β-Cells Generates the Metabolic Code.Frontiers in physiology · 2018Article
- Conflicts of interest improve collective computation of adaptive social structures.Science advances · 2018Article
- Coarse-graining as a downward causation mechanism.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2017Review
- Critical and Supercritical Spatiotemporal Calcium Dynamics in Beta Cells.Frontiers in physiology · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many adaptive systems sit near a tipping or critical point. For systems near a critical point small changes to component behaviour can induce large-scale changes in aggregate structure and function. Criticality can be adaptive when the environment is changing, but entails reduced robustness through sensitivity. This tradeoff can be resolved when criticality can be tuned. We address the control of finite measures of criticality using data on fight sizes from an animal society model system (Macaca nemestrina, n=48). We find that a heterogeneous, socially organized system, like homogeneous, spatial systems (flocks and schools), sits near a critical point; the contributions individuals make to collective phenomena can be quantified; there is heterogeneity in these contributions; and distance from the critical point (DFC) can be controlled through biologically plausible mechanisms exploiting heterogeneity. We propose two alternative hypotheses for why a system decreases the distance from the critical point.
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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.