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US airports

About this network

This is the directed network of flights between US airports in 2010. Each edge represents a connection from one airport to another, and the weight of an edge shows the number of flights on that connection in the given direction, in 2010.

Network info

CodeAF
Category Infrastructure
Data source http://toreopsahl.com/datasets/#usairports
Vertex type Airport
Edge type Flight
FormatDirected: Edges are directed Directed
Edge weightsPositive weights: Positively weighted edges Positive weights
Size1,574 vertices (airports)
Volume28,236 edges (flights)
Average degree (overall)35.878 edges / vertex
Fill0.011404 edges / vertex2
Maximum degree596 edges
Reciprocity78.1%
Size of LCC1,572 vertices
Size of LSCC1,402 vertices
Wedge count1,914,691
Claw count612,363,375
Triangle count245,172
Square count19,604,634
4-tour count164,530,266
Power law exponent (estimated) with dmin1.8510 (dmin = 13)
Gini coefficient75.3%
Relative edge distribution entropy84.2%
Assortativity–0.11330
Clustering coefficient38.4%
Diameter8 edges
90-percentile effective diameter3.85 edges
Mean shortest path length3.14 edges
Spectral norm2.3838 107
Algebraic connectivity0.54741
Degree distribution of the US airports network
Degree distribution
Outdegree distribution of the US airports network
Outdegree distribution
Indegree distribution of the US airports network
Indegree distribution
Degree distribution of the US airports network
Degree distribution
Outdegree distribution of the US airports network
Outdegree distribution
Indegree distribution of the US airports network
Indegree distribution

Out/indegree comparison

Out/indegree comparison of the US airports network
Out/indegree comparison
Degree distribution of the US airports network
Degree distribution
Outdegree distribution of the US airports network
Outdegree distribution
Indegree distribution of the US airports network
Indegree distribution
Degree distribution of the US airports network
Degree distribution
Outdegree distribution of the US airports network
Outdegree distribution
Indegree distribution of the US airports network
Indegree distribution
Clustering coefficient distribution of the US airports network
Clustering coefficient distribution
Distance distribution of the US airports network
Distance distribution
Distance distribution on a logistic scale of the US airports network
Distance distribution on a logistic scale
Top-k eigenvalues of A of the US airports network
Top-k eigenvalues of A
Top-k eigenvalues of N of the US airports network
Top-k eigenvalues of N
Top-k eigenvalues of L of the US airports network
Top-k eigenvalues of L
Spectral distribution of the eigenvalues of A of the US airports network
Spectral distribution of the eigenvalues of A
Spectral distribution of the eigenvalues of N of the US airports network
Spectral distribution of the eigenvalues of N
Spectral distribution of the eigenvalues of L of the US airports network
Spectral distribution of the eigenvalues of L
Cumulative spectral distribution of A of the US airports network
Cumulative spectral distribution of A
Cumulative spectral distribution of N of the US airports network
Cumulative spectral distribution of N
Cumulative spectral distribution of L of the US airports network
Cumulative spectral distribution of L
Eigenvectors of A of the US airports network
Eigenvectors of A
Eigenvectors of L of the US airports network
Eigenvectors of L
Complex eigenvalues of the asymmetric adjacency matrix of the US airports network
Complex eigenvalues of the asymmetric adjacency matrix

Layout

Layout of the US airports network
Layout

Downloads

TSV file:downloadopsahl-usairport.tar.bz2 (127.08 KiB)
Extraction code:downloadopsahl.tar.bz2 (15.81 KiB)

References

[1] Us airports network dataset -- KONECT, April 2017. [ http ]
[2] Tore Opsahl. Why anchorage is not (that) important: Binary ties and sample selection, 2011. [ http ]

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