| Autor: |
Liu, Hao, Chen, Xin, Huo, Long, Niu, Chunming |
| Rok vydání: |
2022 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| DOI: |
10.1016/j.physd.2022.133557 |
| Popis: |
Triadic subgraph analysis reveals the structural features in power networks based on higher-order connectivity patterns. Power networks have a unique triad significance profile (TSP) of the five unidirectional triadic subgraphs in comparison with the scale-free, small-world and random networks. Notably, the triadic closure has the highest significance in power networks. Thus, the unique TSP can serve as a structural identifier to differentiate power networks from other complex networks. Power networks form a network superfamily. Furthermore, synthetic power networks based on the random growth model grow up to be networks belonging to the superfamily with a fewer number of transmission lines. The significance of triadic closures strongly correlates with the construction cost measured by network redundancy. The trade off between the synchronization stability and the construction cost leads to the power network superfamily. The power network characterized by the unique TSP is the consequence of the trade-off essentially. The uniqueness of the power network superfamily tells an important fact that power networks. |
| Databáze: |
arXiv |
| Externí odkaz: |
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