Searching for small-world and scale-free behaviour in long-term historical data of a real-world power grid
arXiv:2010.09315 · doi:10.1038/s41598-021-86103-7
Abstract
In this paper the authors use the 70-year-long historical dataset of the Hungarian power grid to perform complex network analysis, which is the first attempt to evaluate small-world and scale-free properties on long-term real-world data.
References in corpus (9)
- Emergence of scaling in random networks
- Power-law distributions in empirical data
- Classes of behavior of small-world networks
- Structural Vulnerability of the North American Power Grid
- Scale-free networks are rare
- Average path length in random networks
- Average path length in uncorrelated random networks with hidden variables
- Robustness of the European power grids under intentional attack
- Evaluating North American Electric Grid Reliability Using the Barabasi-Albert Network Model