ArticleScientific reports2017
Effect of Correlations in Swarms on Collective Response.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Protein swarm-based cause-effect analysis: effects of microRNAs on cooperation networks linking COVID-19 infections, atherosclerosis, and Alzheimer's disease.Frontiers in cardiovascular medicine · 2025Article
- Effects of shady environments on fish collective behavior.Scientific reports · 2022Article
- The emergence of a collective sensory response threshold in ant colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Transition from simple to complex contagion in collective decision-making.Nature communications · 2022Article
- Beyond Bio-Inspired Robotics: How Multi-Robot Systems Can Support Research on Collective Animal Behavior.Frontiers in robotics and AI · 2022Article
- Swarm shedding in networks of self-propelled agents.Scientific reports · 2021Article
- Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review.Frontiers in robotics and AI · 2021Review
- Scale-Free Dynamics in Animal Groups and Brain Networks.Frontiers in systems neuroscience · 2020Article
- Mid-sized groups perform best in a collective decision task in sticklebacks.Biology letters · 2019Article
- Integrated Robotic and Network Simulation Method.Sensors (Basel, Switzerland) · 2019Article
- Confined System Analysis of a Predator-Prey Minimalistic Model.Scientific reports · 2019Article
- Optimal network topology for responsive collective behavior.Science advances · 2019Article
- Opinion Dynamics With Mobile Agents: Contrarian Effects by Spatial Correlations.Frontiers in robotics and AI · 2018Article
- Entangled time in flocking: Multi-time-scale interaction reveals emergence of inherent noise.PloS one · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social interaction increases significantly the performance of a wide range of cooperative systems. However, evidence that natural swarms limit the number of interactions suggests potentially detrimental consequences of excessive interaction. Using a canonical model of collective motion, we find that the collective response to a dynamic localized perturbation-emulating a predator attack-is hindered when the number of interacting neighbors exceeds a certain threshold. Specifically, the effectiveness in avoiding the predator is enhanced by large integrated correlations, which are known to peak at a given level of interagent interaction. From the network-theoretic perspective, we uncover the same interplay between number of connections and effectiveness in group-level response for two distinct decision-making models of distributed consensus operating over a range of static networks. The effect of the number of connections on the collective response critically depends on the dynamics of the perturbation. While adding more connections improves the response to slow perturbations, the opposite is true for fast ones. These results have far-reaching implications for the design of artificial swarms or interaction networks.
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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.