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You may also take a look at the source code.
The network in this dataset can be loaded directly from graph-tool with:
import graph_tool.all as gt
g = gt.collection.ns["openflights"]

openflights — Openflights airport network

Description

A network of regularly occurring flights among airports worldwide, extracted from the openflights.org dataset. Nodes represent airports, and direction of edge (i,j) indicates a regularly occurring commercial flight by a particular airline from airport i to airport j. Multiple edges may exist between a pair of airports if multiple airlines offer that flight, or if one airline offers multiple such flights each day.1


  1. Description obtained from the ICON project. 

Tags
Transportation Airport Weighted Multigraph
Citation
Upstream URL OK
https://openflights.org/data.html
Networks
Tip: hover your mouse over a table header to obtain a legend.
Name Nodes Edges $\left<k\right>$ $\sigma_k$ $\lambda_h$ $\tau$ $r$ $c$ $\oslash$ $S$ Kind Mode NPs EPs gt GraphML GML csv
openflights 3,214 66,771 20.78 109.43 68.15 51.53 0.00 0.34 12 0.99 Directed Unipartite id name city country IATA/FAA ICAO latitude longitude altitude timezone DST distance airline airline_code codeshare equipment stops 607 KiB 977 KiB 796 KiB 905 KiB
Ridiculograms
None drawing