Review Article
Recent Progress about Flight Delay under Complex Network
Table 3
Some strong impact temporal evolution analyses on air transport network.
| Region | Type | Time period | Directed | Weight | Metrics | Ref | Conventional | New |
| Worldwide | Country network | 2002–2013 | No | Number of passengers | Degree | — | [15] | Betweenness | Shortest path length | Clustering coefficient | USA | Airport network | 1990–2000 | No | Number of passengers | Degree | Weight growth lifetime of links | [16] | Brazil | Airport network | 1995–2006 | Yes | Number of flights | Degree | Entropy | [17] | Number of passengers | Shortest path length | Amount of cargo carried | Clustering coefficient | USA | Airline network | 1990–2007 | No | — | Degree | — | [18] | Betweenness | Shortest path length | Clustering coefficient | China | Airport network | 2002–2010 | No | — | Degree shortest path length clustering coefficient | — | [19] | China | Air route network | Europe | Airport network | 2011–2013 | Yes | Number of available seats | Degree betweenness shortest path length clustering coefficient | Cov (ratio of the standard deviation to the mean) | [20] | Europe | Air route network | Number of flights |
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