dorsal/arxiv
View SchemaNetwork Topology of the Austrian Airline Flights
| Authors | D. D. Han, J. H. Qian, J. G. Liu |
|---|---|
| Categories | |
| ArXiv ID | physics/0703193 |
| URL | https://arxiv.org/abs/physics/0703193 |
Abstract
The information of the Austrian airline flights was collected and quantitatively analyzed by the concepts of complex network. It displays some features of small-world networks, namely large clustering coefficient and small average shortest-path length. The degree distributions of the networks reveal power law behavior with exponent value of 2 $\sim$ 3 for the small degree branch but a flat tail for the large degree branch. Similarly, the flight weight distributions show power-law behavior for the small weight branch. Furthermore, we found that the clustering coefficient $C$, 0.206, of this flight network is greatly larger than that of a random network, 0.01, which has the same numbers of the airports ($N$) and mean degree ($<k>$), and the diameter $D$, 2.383, of the flight network is significantly smaller than the value of the same random network, 18.67. In addition, the degree-degree correlation analysis shows the network has disassortative behavior, i.e. the large airports are likely to link to smaller airports. Furthermore, the clustering coefficient analysis indicates that the large airports reveal the hierarchical organization.
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"date_created": "2026-03-02T18:01:18.372000Z",
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"abstract": "The information of the Austrian airline flights was collected and\nquantitatively analyzed by the concepts of complex network. It displays some\nfeatures of small-world networks, namely large clustering coefficient and small\naverage shortest-path length. The degree distributions of the networks reveal\npower law behavior with exponent value of 2 $\\sim$ 3 for the small degree\nbranch but a flat tail for the large degree branch. Similarly, the flight\nweight distributions show power-law behavior for the small weight branch.\nFurthermore, we found that the clustering coefficient $C$, 0.206, of this\nflight network is greatly larger than that of a random network, 0.01, which has\nthe same numbers of the airports ($N$) and mean degree ($\u003ck\u003e$), and the\ndiameter $D$, 2.383, of the flight network is significantly smaller than the\nvalue of the same random network, 18.67. In addition, the degree-degree\ncorrelation analysis shows the network has disassortative behavior, i.e. the\nlarge airports are likely to link to smaller airports. Furthermore, the\nclustering coefficient analysis indicates that the large airports reveal the\nhierarchical organization.",
"arxiv_id": "physics/0703193",
"authors": [
"D. D. Han",
"J. H. Qian",
"J. G. Liu"
],
"categories": [
"physics.soc-ph",
"physics.pop-ph"
],
"title": "Network Topology of the Austrian Airline Flights",
"url": "https://arxiv.org/abs/physics/0703193"
},
"schema_id": "dorsal/arxiv",
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"variant": "snapshot-2026-03-01",
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