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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["us_air_traffic"]
Yearly snapshots of flights among all commercial airports in the United States from 1990 to today. Metadata include passengers, distance, carrier, airport located city, state, and month of the flight.1
|us_air_traffic||2,278||6,390,340||2805.24||23318.93||225.51||41.03||0.03||0.92||6||1.00||Directed||Unipartite||airport_code airport_id airport_seq_id city_market_id origin city_name state_abr state_fips state_nm wac||passengers freight mail distance unique_carrier airline_id unique_carrier_name unique_carrier_entity region carrier carrier_name carrier_group carrier_group_new year quarter month distance_group class||65.4 MiB||84.7 MiB||55.4 MiB||69.9 MiB|