Analysis of the airport network of India as a complex weighted network

By Ganesh Bagler. 2004

432 citations recorded by the source corpus.

Transportation infrastructure of a country is one of the most important indicators of its economic growth. Here we study the Airport Network of India (ANI) which represents India’s domestic civil aviation infrastructure as a complex network. We find that ANI, a network of domestic airports connected by air links, is a small-world network characterized by a truncated power-law degree distribution and has a signature of hierarchy. We investigate ANI as a weighted network to explore its various properties and compare them with their topological counterparts. The traffic in ANI, as in the World-wide Airport Network (WAN), is found to be accumulated on interconnected groups of airports and is concentrated between large airports. In contrast to WAN, ANI is found to be having disassortative mixing which is offset by the traffic dynamics. The analysis indicates possible mechanism of formation of a national transportation network, which is different from that on a global scale.

Subfields: Building and Construction, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/6ecef6499446c1441835523ec56f0faa40ead32a

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In Statistical and Nonlinear Physics

Citations in the corpus

Social networks (2009, neutral): “For most of them, neither random networks nor regular lattices provide an adequate framework to model the observed topological properties.”
Spatial Networks (2010, neutral): “1 unclear; broad n/a n/a Indian Airline network [22] 79 5.”
Exploring the network structure and nodal centrality of China (2011, background): “The average path length of 2.23 in the ATNC is very similar to that of India’s air transport system (2.26) and slightly above that of Italy’s (1.98–2.14), but larger than that of the US (ranging from 1.84 to 1.93) (Table 3).”
Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007, background): “Bagler [101] studied the airport network of India consideri ng edge weights, and found that this network is hierarchical with the small-world property, and characterized by a truncated power-law degree distribution.”
Exploring the structure of the U.S. intercity passenger air transportation network: a weighted complex network approach (2008, methodology): “Many real-world networks, including airline networks (Bagler 2008; Guida and Maria 2007; Guimera and Amaral 2004), have been found to be smallworld networks (Watts 1999; Watts and Strogatz 1998), in which their connectivity is as high as and their clustering is much higher than that of the same size”
Analysis of the Chinese Airline Network as multi-layer networks (2016, background): “studied the Airport Network of India which is a small-world network with a truncated power-law distribution and signature of hierarchy feature [13].”