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dc.contributor.author Prasani, S
dc.contributor.author Fernando, A
dc.contributor.editor Chathuranga, D
dc.date.accessioned 2022-09-01T05:23:04Z
dc.date.available 2022-09-01T05:23:04Z
dc.date.issued 2018-05
dc.identifier.citation S. Prasani and A. Fernando, "Analysis on Centrality Index of Air Network," 2018 Moratuwa Engineering Research Conference (MERCon), 2018, pp. 167-172, doi: 10.1109/MERCon.2018.8422001. en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/18810
dc.description.abstract Air transport network plays a major role in catalyzing globalization through facilitating the movement of goods and people between countries. This study analysed the connectivity of the airline network of the national carrier of Sri Lanka and identified the critical airports and their impact to the network. The study considered the network of Sri Lankan Airlines for the analysis and used flight stats data for data collection. Dubai International Airport (DXB), Delhi International Airport (DEL) and Kuala Lumpur International Airport (KUL) had the highest degree centrality in the network, indicating strong connectivity with other nodes in the network. Thus the most critical airports in the network. While Gan International Airport (GAN) and Seychells International Airport (SEZ) indicated the lowest degree centrality. Degree centrality of the nodes in the networked changed when critical airports were removed from the network. Combaitre International Airport (CJB) is having the highest closeness centrality indicating the ease of movement between the nodes. Removing the critical airports with from the network affected the closeness centrality score of the nodes. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.uri https://ieeexplore.ieee.org/document/8422001 en_US
dc.subject Network en_US
dc.subject Centrality en_US
dc.subject Efficiency en_US
dc.title Analysis on centrality index of air network en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering
dc.identifier.department Engineering Research Unit, University of Moratuwa en_US
dc.identifier.year 2018 en_US
dc.identifier.conference 2018 Moratuwa Engineering Research Conference (MERCon) en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 167-172 en_US
dc.identifier.proceeding Proceedings of 2018 Moratuwa Engineering Research Conference (MERCon) en_US
dc.identifier.email Sameera.prasani@outlook.com en_US
dc.identifier.email anujas@uom.lk en_US
dc.identifier.doi 10.1109/MERCon.2018.8422001 en_US


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