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Collaborations of Indian institutions which conduct mathematical research: A study from the perspective of social network analysis

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  • K. Reji Kumar

    (N. S. S. College)

  • Shibu Manuel

    (St. Dominics College)

Abstract

Expansion of knowledge in the realm of higher mathematics is highly important when progress of human society is concerned. As a fast developing country, in India we need a monitoring system which would tell us the exact nature of changes taking place in the field of mathematics. This is the motivation behind this paper. In this paper we present an analysis of the network formed by institutions which conduct research and publish articles in the field of Mathematics. Collaboration between a member of one institute and a member of another institute make a connection between the institutions. We make a comparative study of the network formed in consecutive years over a period of time giving emphasis to importance of institutions in the research network.

Suggested Citation

  • K. Reji Kumar & Shibu Manuel, 2018. "Collaborations of Indian institutions which conduct mathematical research: A study from the perspective of social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1041-1051, November.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:2:d:10.1007_s11192-018-2898-0
    DOI: 10.1007/s11192-018-2898-0
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    References listed on IDEAS

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    1. Bordons, María & Aparicio, Javier & González-Albo, Borja & Díaz-Faes, Adrián A., 2015. "The relationship between the research performance of scientists and their position in co-authorship networks in three fields," Journal of Informetrics, Elsevier, vol. 9(1), pages 135-144.
    2. Bae, Joonhyun & Kim, Sangwook, 2014. "Identifying and ranking influential spreaders in complex networks by neighborhood coreness," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 549-559.
    3. Subbiah Arunachalam, 2001. "Mathematics Research in India Today: What Does the Literature Reveal?," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(2), pages 235-259, October.
    4. Wang, Zhixiao & Zhao, Ya & Xi, Jingke & Du, Changjiang, 2016. "Fast ranking influential nodes in complex networks using a k-shell iteration factor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 171-181.
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