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The HoneyComb Paradigm for Research on Collective Human Behavior
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Multistability, intermittency, and hybrid transitions in social contagion models on hypergraphs
Guilherme Ferraz de Arruda1, Giovanni Petri2,3, Pablo Martin Rodriguez4
1CENTAI Institute, Turin, Italy. gui.f.arruda@gmail.com.
Nature Communications
|March 14, 2023
Summary
This study models group interactions using hypergraphs, revealing complex dynamics like multistability and intermittency beyond simple critical-mass models. Understanding these group dynamics is key for social and physics research.
Area of Science:
- Complex Systems
- Network Science
- Sociophysics
Background:
- Group interactions are ubiquitous but not fully understood.
- Current models often focus on single groups using critical-mass dynamics.
- The behavior of interconnected groups and their intersections remains less explored.
Purpose of the Study:
- To model the dynamics of interacting groups using a novel framework.
- To explore phenomena beyond simple discontinuous transitions in collective behavior.
- To investigate the role of community structures in group dynamics.
Main Methods:
- Formulation of binary-state dynamics on hypergraphs.
- Analysis of model behavior, including transitions, multistability, and intermittency.
- Investigation of community structures and inter-community connections.
Main Results:
- The hypergraph model exhibits rich dynamics, including multistability and intermittency.
- These phenomena are linked to community structures and the control of connections between them.
- Transitions observed in the model are identified as hybrid.
Conclusions:
- The developed hypergraph model provides a richer understanding of collective group behavior.
- Findings suggest new avenues for research in physics and social sciences.
- The study highlights the importance of inter-group connections in shaping overall dynamics.
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