Related Experiment Video
Updated: May 14, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
Effect of network structure on phase transitions in queuing networks
Norbert Barankai1, Attila Fekete, Gábor Vattay
1Department of the Physics of Complex Systems, Eötvös University, Pázmány Péter Sétány 1/A, H-1117 Budapest, Hungary.
This study investigates traffic congestion phase transitions in random networks. We link network structure with critical traffic load, finding quenched and annealed formulas match in dense networks but diverge in sparse ones due to local structure.
Area of Science:
- Statistical mechanics
- Network science
- Transportation phenomena
Background:
- De Martino et al. introduced a framework for transportation on annealed random networks.
- Their work clarified phase transitions in traffic load on uncorrelated networks.
Purpose of the Study:
- To investigate phase transitions in transportation networks.
- To connect uncorrelated random graph structure with quenched disorder to critical traffic load.
Main Methods:
- Utilized a discrete time random walk model.
- Analyzed transportation phenomena on random networks with quenched disorder.
Main Results:
- Established a direct connection between network structure and critical traffic load.
- Demonstrated that quenched and annealed formulas for critical loading probability coincide in dense networks.
- Identified higher-order corrections related to local network structure in sparse graphs.
Conclusions:
- The local structure of sparse networks significantly influences critical traffic load.
- The findings extend the understanding of phase transitions in disordered transportation networks.
Related Concept Videos
Phase Transitions
Phase Transitions
Phase Diagrams of Ternary Systems
Network Function of a Circuit
The Phase Rule
Phase Transitions: Melting and Freezing