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Synergistic interactions promote behavior spreading and alter phase transitions on multiplex networks
Quan-Hui Liu1,2,3, Wei Wang1,2,4, Shi-Min Cai1,2,5
1Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Physical Review. E
|March 18, 2018
Summary
Synergistic interactions in multiplex networks significantly boost behavior spreading. These interactions can alter phase transitions and create a unique two-stage spreading process, enhancing adoption across layers.
Area of Science:
- Complex Networks
- Sociophysics
- Computational Social Science
Background:
- Synergistic interactions enhance spreading in single-layer networks, sometimes causing explosive contagion.
- Behavior spreading dynamics on multiplex (multi-layered) networks are of growing research interest.
Purpose of the Study:
- To investigate the role of synergistic interactions in behavior spreading on double-layer networks.
- To model how adopting a behavior in one layer influences adoption in another layer.
Main Methods:
- Developed a synergistic behavior spreading model on a double-layer network.
- Employed edge-based compartmental theory and bifurcation analysis.
- Focused on the weak synergistic interaction regime with negligible dynamical correlation between layers.
Main Results:
- Synergistic interactions substantially enhance behavior spreading across both network layers.
- Interactions can shift the nature of phase transitions from continuous (second-order) to discontinuous (first-order).
- Observed a novel two-stage spreading process driven by synergistic effects.
Conclusions:
- Synergy is a key factor in promoting social behavior spreading on multiplex networks.
- The interplay between layers, mediated by synergy, fundamentally impacts spreading dynamics and transition behaviors.
- The findings provide a deeper understanding of complex contagion phenomena in interconnected systems.
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