Abstract
We compare the Indian railways and domestic airways using network analysis approach. The analysis also compares different characteristics of the networks with a previous work and notes the change in the networks over a decade. In a populous country like India with an ever increasing GDP, more and more people are gaining the facility of choosing one mode of travel over the other. Here we have compared these two networks, by building a merger network. The need for such type of network arises as the order of both networks are different. This newly formed network can be used in identifying new routes and adding more flights on some of the popular routes in India.
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References
Ghosh, S., et al.: Statistical analysis of the Indian railway network: a complex network approach. Acta Phys. Pol. B Proc. Suppl. 4(2), 123–138 (2011)
Bagler, G.: Analysis of the airport network of India as a complex weighted network. Phys. A: Stat. Mech. Appl. 387(12), 2972–2980 (2008)
Barrat, A., Barthelemy, M., Pastor-Satorras, R., Vespignani, A.: The architecture of complex weighted networks. Proc. Nat. Acad. Sci. 101(11), 3747–3752 (2004)
Li, W., Cai, X.: Statistical analysis of airport network of China. Phys. Rev. E 69(4), 046106 (2004)
Li-Ping, C., et al.: Structural properties of US flight network. Chin. Phys. Lett. 20(8), 1393 (2003)
Liu, C.M., Li, J.W.: Small-world and the growing properties of the Chinese railway network. Front. Phys. China 2(3), 364–367 (2007). https://doi.org/10.1007/s11467-007-0039-y
Li, W., Cai, X.: Empirical analysis of a scale-free railway network in China. Phys. A: Stat. Mech. Appl. 382(2), 693–703 (2007)
Sen, P., Dasgupta, S., Chatterjee, A., Sreeram, P.A., Mukherjee, G., Manna, S.S.: Small-world properties of the Indian railway network. Phys. Rev. E 67(3), 036106 (2003)
Barabási, A.L., Albert, R.: Emergence of scaling in random networks. Science 286(5439), 509–512 (1999)
Faloutsos, M., Faloutsos, P., Faloutsos, C.: On power-law relationships of the internet topology. ACM SIGCOMM Comput. Commun. Rev. 29(4), 251–262 (1999)
Stam, C.J.: Modern network science of neurological disorders. Nat. Rev. Neurosci. 15(10), 683–695 (2014)
Newman, M.E.: The structure of scientific collaboration networks. Proc. Nat. Acad. Sci. 98(2), 404–409 (2001)
Seaton, K.A., Hackett, L.M.: Stations, trains and small-world networks. Phys. A: Stat. Mech. Appl. 339(3–4), 635–644 (2004)
Newman, M.E.: The structure and function of complex networks. SIAM Rev. 45(2), 167–256 (2003)
Newman, M.E.: Assortative mixing in networks. Phys. Rev. Lett. 89(20), 208701 (2002)
Park, K., Yilmaz, A.: A social network analysis approach to analyze road networks. In: ASPRS Annual Conference, San Diego, CA, pp. 1–6, April 2010
Saramäki, J., Kivelä, M., Onnela, J.P., Kaski, K., Kertesz, J.: Generalizations of the clustering coefficient to weighted complex networks. Phys. Rev. E 75(2), 027105 (2007)
Sankaranarayanan, H. B., Rukmangadha, P. V., Grosche, T.: A combinatorial approach for calculating rail-fly connectivity index in India based on fuzzy logic. In: 2016 Future Technologies Conference (FTC), pp. 150–155. IEEE, December 2016
Sankaranarayanan, H. B., Thind, R. S.: Multi-modal travel in India: a big data approach for policy analytics. In 2017 7th International Conference on Cloud Computing, Data Science and Engineering-Confluence, pp. 243–248. IEEE, January 2017
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Dhar, A.K., Sharma, S., Singh, R.R. (2020). Network Based Comparison of Indian Railways and Airways. In: Chellappan, S., Choo, KK.R., Phan, N. (eds) Computational Data and Social Networks. CSoNet 2020. Lecture Notes in Computer Science(), vol 12575. Springer, Cham. https://doi.org/10.1007/978-3-030-66046-8_9
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DOI: https://doi.org/10.1007/978-3-030-66046-8_9
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