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Activity Number:
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130
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Business and Economic Statistics Section
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| Abstract - #305398 |
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Title:
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Network Analysis of U.S. Domestic Air Transportation Network
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Author(s):
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Guangying Hua*+ and Yingjie Sun and Dominique Haughton
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Companies:
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Bentley University and Boston University and Bentley University
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Address:
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175 Forest Street, Waltham, MA, 02452,
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Keywords:
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Air Transportation Network ; Scale-free Network ; Preferential Attachment ; Aging Effect
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Abstract:
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Air transportation networks are regarded as complex networks full of dynamics and complexity. This study focuses on the U.S domestic air transportation network, which is one of the most diverse, dynamic and perplexing in the world. All of the data are drawn from U.S. Bureau of Transportation Statistics (BTS). The topology features show that the network is a small-world network; the degree distribution follows a truncated power-law. A discrete dynamics model is constructed to investigate the evolution of the network. Our analysis offer direct confirmation for the existence of preferential attachment in air transportation network. We conclude that both aging effect and preferential attachment are the two mechanisms driving the evolution of new nodes in the network.
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