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Surfacic networks
Marc Barthelemy1,2, Geoff Boeing3, Alain Chiaradia4
1Université Paris-Saclay, CNRS, CEA, Institut de Physique Théorique, Gif-sur-Yvette 91191, France.
PNAS Nexus
|January 20, 2025
Summary
New tools analyze elevation changes in surfacic networks, revealing how "excess effort" on shortest paths (SPs) follows a power law. This impacts urban and transport network analysis.
Area of Science:
- Complex systems analysis
- Network science
- Geographic information science
Background:
- Surfacic networks, like transportation and urban systems, are built on 2D manifolds.
- Node elevation fluctuations create deviations from planar networks, necessitating specialized analytical tools.
Purpose of the Study:
- To introduce novel metrics for analyzing elevation impacts on surfacic networks.
- To investigate how elevation changes influence network properties, particularly shortest paths and centrality.
Main Methods:
- Development of metrics: lazy paths, graph arduousness, and excess effort.
- Application of metrics to toy models and empirical analysis of urban pedestrian networks.
- Examination of elevation's effect on betweenness centrality distribution.
Main Results:
- Excess effort along shortest paths exhibits a non-universal power law distribution.
- Elevation changes significantly impact the spatial distribution of betweenness centrality.
- Steep slopes are probable along shortest paths irrespective of start/end elevation differences.
Conclusions:
- Elevation fluctuations are critical factors shaping surfacic network characteristics.
- The developed tools provide a framework for analyzing complex surface-constrained systems.
- Findings have implications for urban planning, transportation logistics, and network design.
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