Individual-level evolutions manifest population-level scaling in complex supply networks
arXiv:2004.13879 · doi:10.1103/PhysRevE.98.062323
Abstract
Scaling in complex supply networks is a population-level optimization phenomenon thought to arise from the evolutions of the underlying individual networks, but the evolution-scaling connection has not been empirically demonstrated. Here, using individually resolved, temporally serial, and population-scope datasets from public water supply networks, we empirically demonstrate this connection. On the log-log plot, structural properties of individual supply networks trace out evolutionary paths describable as linear projectiles, each characterized by a slope reflecting optimized physical economies of scale and an intercept reflecting morphological adaptation to settlement contexts. The universality in scaling slope coexists with the variability in scaling intercept, so that networks of diverse morphologies advance in time along a "common evolutionary track". This cross-level observation establishes that individual-level dynamic evolutions cumulatively manifest population-level optimal scaling in complex water supply networks.
arXiv comment22 pages, 8 figures
References in corpus (8)
- Power-law distributions in empirical data
- Paradoxical Interpretations of Urban Scaling Laws
- Global Optimization, Local Adaptation, and the Role of Growth in Distribution Networks
- From global scaling to the dynamics of individual cities
- Multiscale unfolding of real networks by geometric renormalization
- Symmetric States Requiring System Asymmetry
- Emergence of hierarchy in cost driven growth of spatial networks
- Evolutionary Model of Species Body Mass Diversification