Document Type : Articles
Authors
1 Research Scholar Department of Library and Information Science, Alagappa University Karaikudi - 630003 Tamil Nadu, India
2 Associate Professor Department of Library and Information Science, Alagappa University Karaikudi - 630003 Tamil Nadu, India
Abstract
The study highlights the research collaboration and growth rate in multiple disabilities by utilizing social network analysis based on 27708 scholarly communications that appeared during 2006-2020. It analyses the types and trends of authorship patterns through various indices and by employing social network analysis. The study aims to construct a coauthorship network at the micro and macro levels to disclose the intellectual structure of prolific authors. The study exemplifies the growth rate with mean average growth rate (0.09), relative growth rate (0.23) and doubling time (3.52) which specifies that there is no constant rate of augmentation found in the research field and authors tend to work collaboratively. While comparing the prolific authors' Scientometric measures with social network measures, the author Kappos L has secured the highest position in production (255), with the utmost H-Index (67), G-index (154), M-Index (3.914) and citation (24478). He is the best collaborator with the highest cluster level of 354, degree centrality (84) and close to other authors with (0.847).
Keywords
- Abbasi, A., Altmann, J. & Hossain, L. (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, 5(4), 594-607. https://doi.org/10.1016/j.joi.2011.05.007
- Ajiferuke, I., Burell, Q. & Tague, J. (1988). Collaborative coefficient: A single measure of the degree of collaboration in research. Scientometrics, 14(5-6), 421-433. https://doi.org/10.1007/bf02017100
- Baskaran, C. (2020). Research enrichment of the faculty members in Alagappa University, India: The metrics based on WoS (Web of Science) and Scopus. Library Philosophy and Practice (e-Journal), 1-20. Retrieved from https://digitalcommons.unl.edu/libphilprac/3726?utm_source=digitalcommons.unl.edu%2 Flibphilprac%2F3726&utm_medium=PDF&utm_campaign=PDFCoverPages
- Batagelj, V., Doreian, P., Ferligoj, A. & Kejzar, N. (2014). Understanding Large Temporal Networks And Spatial Networks: Exploration, Pattern Searching, Visualization And Network Evolution (Vol. 2). John Wiley & Sons.
- Benckendorff, P. (2010, February). Exploring the limits of tourism research collaboration: A social network analysis of co-authorship patterns in Australian and New Zealand tourism research. In Proceedings of the 20th Annual CAUTHE Conference, Hobart, Tasmania (pp. 151-174).
- Breznik, K. & Skrbinjek, V. (2017). Citation network analysis of documents on engineering and technology education. Global Journal of Engineering Education. 19(3), 213-218. Retrieved from http://www.wiete.com.au/journals/GJEE/Publish/vol19no3/06-Breznik-K.pdf
- De Nooy, W., Mrvar, A. & Batagelj, V. (2018). Exploratory social network analysis with Pajek: Revised and expanded edition for updated software(Vol. 46). Cambridge university press. https://doi.org/10.1017/9781108565691
- Garg, K., & Padhi, P. (1999). Scientometrics of laser research literature as viewed through the Journal of Current Laser Abstracts. Scientometrics, 45(2), 251-268. https://doi.org/10.1007/bf02458436
- Giannakis, M. & Croom, S. (2001). The intellectual structure of supply chain management: An application of the social network analysis and citation analysis to SCM related journals. In 10th International Annual International Purchasing and Supply Education Research Association Conference (pp. 8-11).
- Jeyshankar, R., Babu, B. R. & Rajendran, P. (2011). Research output of CSIR-central electro chemical research institute (CECRI): A study. Annals of Library and Information Studies, 58, 301-306. Retrieved from https://nopr.niscpr.res.in/bitstream/123456789/13479/4/ALIS%2058%284%29%20301-306.pdf
- Kasa, M. G., Izah, M., Soyemi, D. O. & Opeke, R. O. (2020). Authorship Patterns in Research Output of Faculty Members in University-Based Agricultural Research Institutes in Nigeria. International Journal of Library Science, 9(2), 34-39. https://doi.org/10.5923/j.library.20200902.02
- Kleinberg, J. M. (1999). Hubs, authorities, and communities. ACM computing surveys (CSUR), 31(4es), 5-es. https://dl.acm.org/doi/pdf/10.1145/345966.345982
- Kumar, S.(2015) Co-authorship networks: A review of the literature. Aslib Journal of Information Management, 67(1), 55-73. https://doi.org/10.1108/AJIM-09-2014-0116
- Lawani, S. M. (1980). Quality, collaboration and citations in cancer research: A bibliometric study (Doctoral dissertation). Florida State University, Florida. Retrieved from https://catalogue.nla.gov.au/Record/3287291
- Liu, X., Bollen, J., Nelson, M. L. & Van de Sompel, H. (2005). Co-authorship networks in the digital library research community. Information Processing & Management, 41(6), 1462-1480. https://doi.org/10.1016/j.ipm.2005.03.012
- Mutschke, P. & Mayr, P. (2015). Science models for search: A study on combining scholarly information retrieval and scientometrics. Scientometrics, 102(3), 2323-2345. https://doi.org/10.1007/s11192-014-1485-2
- Newman, M. E. (2001). Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality. Physical Review E, 64, 016132. https://doi.org/10.1103/PhysRevE.64.016132
- Nishavathi, E. & Jeyshankar, R. (2018). Measuring Co-authorship pattern in research output of chromosome anomalies. Library Philosophy & Practice. (e-journal), Retrieved from https://digitalcommons.unl.edu/libphilprac/1730
- Nishavathi, E. & Jeyshankar, R. (2020). A scientometric social network analysis of international collaborative publications of all India institute of medical sciences, India. Journal of Information Science Theory and Practice, 8(3), 64-76. https://doi.org/10.1633/JISTaP.2020.8.3.5
- Nishavathi, E., Jeyshankar, R. & Dong-Geun, O. (2022). Evaluating research output using scientometric and social network analysis: A case of Alagappa University, India. International Journal of Information Science and Management (IJISM), 20(2), 325-345. https://dorl.net/dor/20.1001.1.20088302.2022.20.2.20.5
- Rajgoli, I. U. & Laxminarsaiah, A. (2015). Authorship pattern and collaborative research in the field of spacecraft technology. The Electronic Library, 33(4), 625-642. https://doi.org/10.1108/EL-12-2013-0210
- Savanur, K. & Srikanth, R. (2010). Modified Collaborative Coefficient: a new measure for quantifying the degree of research collaboration. Scientometrics, 84(2), 365-371. https://doi.org/10.1007/s11192-009-0100-4
- Schummer, J. (2004). Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology. Scientometrics, 59(3), 425-465. https://doi.org/10.1023/b:scie.0000018542.71314.38.
- Subramanian, K. (1983). Bibliometric studies of research collaboration: A Review. Journal of Information Science, 6(1), 35-37. https://doi.org/10.1177/016555158300600105
- Waila, P., Singh, V. K. & Singh, M. K. (2016). A Scientometric Analysis of Research in Recommender Systems. Journal of Scientific Research, 5(1), 71-84. https://doi.org/10.5530/jscires.5.1.10
- Waltman, L., Yan, E. & van Eck, N. J. (2011). A recursive field-normalized bibliometric performance indicator: An application to the field of library and information science. Scientometrics, 89(1), 301-314. https://doi.org/10.1007/s11192-011-0449-z
- Wasserman, S. & Faust, K. (1994). Social network analysis: Methods and applications. Cambridge University Press
- Zare-Farashbandi, F., Geraei, E. & Siamaki, S. (2014). Study of Co-authorship network of papers in the Journal of Research in Medical Sciences using social network analysis. Journal of Research in Medical Sciences: The Official Journal of Isfahan University of Medical Sciences, 19(1), 41-46. Retrived from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963322/