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Bonded-communities in HantaVirus research: a research collaboration network (RCN) analysis

Author

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  • Sameer Kumar

    (University of Malaya)

  • Bernd Markscheffel

    (Technische Universität Ilmenau)

Abstract

Hantavirus, one of the deadliest viruses known to humans, hospitalizes tens of thousands of people each year in Asia, Europe and the Americas. Transmitted by infected rodents and their excreta, Hantavirus are identified as etiologic agents of two main types of diseases—Hemorrhagic fever with renal syndrome and hantavirus pulmonary syndrome, the latter having a fatality rate of above 40 %. Although considerable research for over two decades has been going on in this area, bibliometric studies to gauge the state of research of this field have been rare. An analysis of 2631 articles, extracted from WoS databases on Hantavirus between 1980 and 2014, indicated a progressive increase (R 2 = 0.93) in the number of papers over the years, with the majority of papers being published in the USA and Europe. About 95 % papers were co-authored and the most common arrangement was 4–6 authors per paper. Co-authorship has seen a steady increase (R 2 = 0.57) over the years. We apply research collaboration network analysis to investigate the best-connected authors in the field. The author-based networks have 49 components (connected clump of nodes) with 7373 vertices (authors) and 49,747 edges (co-author associations) between them. The giant component (the largest component) is healthy, occupying 84.19 % or 6208 vertices with 47,117 edges between them. By using edge-weight threshold, we drill down into the network to reveal bonded communities. We find three communities’ hotspots—one, led by researchers at University of Helsinki, Finland; a second, led by the Centers of Disease Control and Prevention, USA; and a third, led by Hokkaido University, Japan. Significant correlation was found between author’s structural position in the network and research performance, thus further supporting a well-studied phenomenon that centrality effects research productivity. However, it was the PageRank centrality that out-performed degree and betweenness centrality in its strength of correlation with research performance.

Suggested Citation

  • Sameer Kumar & Bernd Markscheffel, 2016. "Bonded-communities in HantaVirus research: a research collaboration network (RCN) analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 533-550, October.
    • Handle: RePEc:spr:scient:v:109:y:2016:i:1:d:10.1007_s11192-016-1942-1
    DOI: 10.1007/s11192-016-1942-1
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    References listed on IDEAS

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    1. Seyedamir Tavakoli Taba & Liaquat Hossain & Simon Reay Atkinson & Sarah Lewis, 2015. "Towards understanding longitudinal collaboration networks: a case of mammography performance research," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 531-544, May.
    2. Peng Liu & Haoxiang Xia, 2015. "Structure and evolution of co-authorship network in an interdisciplinary research field," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 101-134, April.
    3. Donald Deb. Beaver, 2001. "Reflections on Scientific Collaboration (and its study): Past, Present, and Future," Scientometrics, Springer;Akadémiai Kiadó, vol. 52(3), pages 365-377, November.
    4. Sameer Kumar & Jariah Mohd. Jan, 2014. "Research collaboration networks of two OIC nations: comparative study between Turkey and Malaysia in the field of ‘Energy Fuels’, 2009–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 387-414, January.
    5. Choong Kwai Fatt & Ephrance Abu Ujum & Kuru Ratnavelu, 2010. "The structure of collaboration in the Journal of Finance," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(3), pages 849-860, December.
    6. Heinze, Thomas & Kuhlmann, Stefan, 2008. "Across institutional boundaries?: Research collaboration in German public sector nanoscience," Research Policy, Elsevier, vol. 37(5), pages 888-899, June.
    7. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
    8. Réka Albert & Hawoong Jeong & Albert-László Barabási, 2000. "Error and attack tolerance of complex networks," Nature, Nature, vol. 406(6794), pages 378-382, July.
    9. Barabási, A.L & Jeong, H & Néda, Z & Ravasz, E & Schubert, A & Vicsek, T, 2002. "Evolution of the social network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 311(3), pages 590-614.
    10. Shahadat Uddin & Liaquat Hossain & Alireza Abbasi & Kim Rasmussen, 2012. "Trend and efficiency analysis of co-authorship network," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(2), pages 687-699, February.
    11. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    12. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
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