Analysis and visualization of airport network to strengthen the economy

  • Authors

    • Saleena. P Department of Computer Science and Engineering,Amrita school of engineering,Bengaluru,Amrita vishwa vidyapeetham India.
    • P. K. Swetha Department of Computer Science and Engineering,Amrita school of engineering,Bengaluru,Amrita vishwa vidyapeetham India.
    • D. Radha Department of Computer Science and Engineering,Amrita school of engineering,Bengaluru,Amrita vishwa vidyapeetham India.
    2018-05-11
    https://doi.org/10.14419/ijet.v7i2.9915
  • Airport Network, Centrality Measures, Designated Node, Social Network Analysis, Visualization.

  • Abstract

    The world’s eminent airports are directly or indirectly connected to many other airports. Every airport is considered as a node and the route can be considered as edge connecting them. The work analyzes the USA airport network using different centrality measures of social network analysis. The centrality measures calculated on airport network help in identiï¬cation of certain characteristics of the airports. Some of the characteristics are like the busiest airport and the airports which influence trade, alternate path, fastest route, nearest airports, etc. The characteristics helps to find the designated airports meant for improving the economy. The results of this paper say about the prominent communication and connections among the airports in the U.S.A. The tools used for the analysis are UCINET 6 and NetDraw.

     

  • References

    1. [1] A.Malathi, D. Radha,â€Analysis and Visualization of Social Media Networksâ€, IEEE International Conference on “Computational Systems and Information Systems for Sustainable Solutions†CSITSS 2016, 6-8 October 2016, RVCE, Bengaluru, India. https://doi.org/10.1109/CSITSS.2016.7779440.

      [2] V Murale and G. Raju, P, Analyzing the Role of Social Networks in Mapping Knowledge Flows: A case of a Pharmaceutical Company in India, Knowledge Management E-Learning: An International Journal, vol. 6, no. 1, pp. 49-65, 2014.

      [3] Shyamala CK, Hemaashri S, Swetha R. An improved recommendation system for social network,In: International Journal of Control Theory and Applications. (ICSCS). IJCT A International Science Press. 2015; 8(5):1903-1910.

      [4] Shyamala C.K., Hemaashri, S, An enhanced design for anonymization in social networks, Indian Journal of Science and Technology, Volume 9, Issue 30, 2016, Article number 99069.

      [5] Borgatti, S.P., Everett, M.G. and Freeman, L.C. 2002. Ucinet for Windows: Software for Social Network Analysis. Harvard, MA: Analytic Technologies

      [6] CongcongWang1, “A Social Network Analysis of International Wheat Tradeâ€, 3rd International Conference on Information Management, Innovation Management and Industrial Engineering, 26-28 Nov 2016

      [7] HuiqingNiu, “Social Network Analysis of University Online Forumâ€, International Conference on Computational Aspects of Social Networks, Computational Aspects of Social Networks (CASoN), 2010 International Conference on Computational Aspects of Social Networks,26-28 Sept. 2010, Taiyuan, China

      [8] Kyoungjin Park, AlperYilmaz, “A social Network Analysis Approach To Analyze Road Networksâ€, ASPRS 2010 Annual Conference, San Diego, California, April 2010, pp.26-30

      [9] TU Yingfei, “Centrality Characteristics Analysis of Urban Rail Networkâ€, IEEE International Conference on â€Intelligent Rail Transportation proceedingsâ€, 30 Aug.-1 Sept 2013, pp.285 – 290

      [10] Zeyun Li, SharifahRohayah Sheikh Dawood. (2016, Jul.). “World City Network in China: A Network Analysis of Air Transportation Networkâ€. Canadian Center of Science and Education, Modern Applied Science. [10] (10), pp. 213-223. “Available online: https://doi.org/10.5539/mas.v10n10p213.

      [11] Vladimir Batagelj and Andrej Mrvar (2006): Pajek datasets. http://vlado.fmf.unilj.si/pub/networks/data/.

      [12] “available online: https://toreopsahl.com/datasets/â€

      [13] G.R.Ramya and Sivakumar, P.B, Advocacy monitoring of women and children health through social data, Indian Journal of Science and Technology, vol, 9, 2016

      [14] Newman, M. "Networks: An Introduction", Oxford University Press, Inc., New York, NY, USA newman 2010. https://doi.org/10.1093/acprof:oso/9780199206650.001.0001.

  • Downloads

  • How to Cite

    P, S., Swetha, P. K., & Radha, D. (2018). Analysis and visualization of airport network to strengthen the economy. International Journal of Engineering & Technology, 7(2), 708-713. https://doi.org/10.14419/ijet.v7i2.9915

    Received date: 2018-03-06

    Accepted date: 2018-04-25

    Published date: 2018-05-11