Chinese domestic airline networks: - Revision history

Ksantipa at 18:23, 11 July 2008

2008-07-11T18:23:10Z

← Older revision		Revision as of 18:23, 11 July 2008
Line 7:		Line 7:
	[[Image:Lufthansa.gif]]		[[Image:Lufthansa.gif]]

	[http://web.mit.edu/gerganaa/~~Public~~/~~get~~/ChineseAirlineNetworks.pdf Final Paper]		[http://web.mit.edu/gerganaa/www/papers/ChineseAirlineNetworks.pdf Final Paper]
	[http://web.mit.edu/gerganaa/~~Public~~/~~get~~/SupplementaryResults.pdf Supplementary Results]		[http://web.mit.edu/gerganaa/www/papers/SupplementaryResults.pdf Supplementary Results]

Ksantipa at 19:33, 11 September 2006

2006-09-11T19:33:10Z

← Older revision		Revision as of 19:33, 11 September 2006
Line 4:		Line 4:

	Keywords: airline networks, topology, fitness, robustness		Keywords: airline networks, topology, fitness, robustness

			[[Image:Lufthansa.gif]]

			[http://web.mit.edu/gerganaa/Public/get/ChineseAirlineNetworks.pdf Final Paper]
			[http://web.mit.edu/gerganaa/Public/get/SupplementaryResults.pdf Supplementary Results]

Ksantipa at 18:07, 11 September 2006

2006-09-11T18:07:34Z

← Older revision		Revision as of 18:07, 11 September 2006
Line 1:		Line 1:
	'''Abstract'''		'''Abstract'''

	We study the spatial form of the networks of the 17 largest domestic airlines by analyzing their edge ~~length~~, degree ~~distribution~~, ~~betweenness and~~ clustering coefficients, and discover that the whole Chinese domestic airline network is not a scale-free small-world network. We analyze each network with two different metrics (i) fitness: we minimize the diameter of networks, and maximize the passenger flow for each edge ~~at the same time in order to improve the fitness of the network.~~ (ii) robustness: we ~~use a new method to measure robustness by computing~~ the change ~~edge weights~~ after removing ~~a series~~ of ~~hubs~~. Finally, we compare the robustness of the different airlines ~~networks~~ and find that some small domestic airlines have very good robustness properties.		We study the spatial form of the networks of the 20 largest domestic airlines by analyzing their edge set, degree and betweenness distributions, clustering coefficients and network diameter, and discover that the whole Chinese domestic airline network is not a scale-free but a small-world network. We analyze each network with two different metrics (i) fitness: we minimize the diameter of networks, and maximize the passenger flow for each edge; (ii) robustness: we compute the change in average path length after removing predetermined hubs and account for the scale of network disintegration. Finally, we compare the robustness of the network of different airlines and find that some small domestic airlines have very good robustness properties. Chinese airline topologies vary from pure stars to scale-free graphs to graphs with uniform dense clusters and scale-free branches to remote destinations.

			Keywords: airline networks, topology, fitness, robustness

Ksantipa at 15:04, 6 August 2006

2006-08-06T15:04:47Z

New page

'''Abstract'''

We study the spatial form of the networks of the 17 largest domestic airlines by analyzing their edge length, degree distribution, betweenness and clustering coefficients, and discover that the whole Chinese domestic airline network is not a scale-free small-world network. We analyze each network with two different metrics (i) fitness: we minimize the diameter of networks, and maximize the passenger flow for each edge at the same time in order to improve the fitness of the network. (ii) robustness: we use a new method to measure robustness by computing the change edge weights after removing a series of hubs. Finally, we compare the robustness of the different airlines networks and find that some small domestic airlines have very good robustness properties.