Date of this Version
Abbasi, A., Hossain, L., & Leydesdorff, L. (2012). Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. Journal of Informetrics, 6, 403–412. https://doi.org/10.1016/j.joi.2012.01.002
About Scopus. (n.d.). Retrieved March 9, 2016, from https://www.elsevier.com/solutions/scopus
Alii, R., & Abu-hassan, N. (2009). Information Literacy of Engineering Students : A Case Study. In 2009 International Conference on Engineering Education (lCEED 2009), December 7-8, 2009, Kuala Lumpur, Malaysia Information (pp. 143–147).
Bartol, T., Budimir, G., Juznic, P., & Stopar, K. (2016). Mapping and classification of agriculture in Web of Science : other subject categories and research fields may benefit. Scientometrics, 109, 979–996. https://doi.org/10.1007/s11192-016-2071-6
Batagelj, V., & Mrvar, A. (2003). Pajek- Analysis and visualization of large networks. In M. Junger & P. Mutzel (Eds.), Graph drawing software (pp. 77–103). Berlin: Springer.
Bawden, D. (2001). Information and Digital Literacies: A Review of Concepts. Journal of Documentation, 57, 218–259.
Bawden, D., Devon, T. K., & Sinclair, I. W. (2000). Desktop information systems and services: A user survey in a pharmaceutical research organisation. International Journal of Information Management, 20, 151–160.
Bender, M. E., Edwards, S., Philipsborn, P. Von, Steinbeis, F., Keil, T., & Tinnemann, P. (2015). Using Co-authorship Networks to Map and Analyse Global Neglected Tropical Disease Research with an Affiliation to Germany. PLoS Negl Trop Dis, 9(12), 1–21. https://doi.org/10.1371/journal.pntd.0004182
BibExcel. (2016). Retrieved August 11, 2016, from http://www8.umu.se/inforsk/Bibexcel
Biradar, B. S., & Swapna, G. (2011). Information Literacy Competency : A Study of Bioscience Students of Kuvempu University. In 8th International CALIBER - 2011 (pp. 445–455).
Bordons, M., Morillo, F., & Gomez, I. (2004). Analysis of Cross-Disciplinary Research through Bibliometric Tools. In H. F. et al. Moed (Ed.), Handbook of Quantitative Science and Technology Research (pp. 437–456). Netherlands: Kluwer Academic Publishers.
Bruce, C. (2004). Information Literacy as a Catalyst for Educational Change. A Background Paper. In P. A. Danaher (Ed.), “Lifelong Learning: Whose responsibility and what is your contribution?”, the 3rd International Lifelong Learning Conference, (pp. 8–19).
Cheuk, B. W. Y. (2000). Experiencing information literacy in the workplace: A process approach. , Centre for In. In C. Bruce & P. Candy (Eds.), Information literacy around the world: Advances in programs and research (pp. 177–191). Wagga Wagga, Australia: Charles Sturt University.
Cliftlands, A. (2005). Information literacy in the Office for National Statistics. State Librarian, 52–58.
de Nooy, W., Marvar, A., & Batagelj, V. (2005). Exploratory Network Analysis with Pajek. New York, NY: Cambridge University Press.
Dhiman, A. K. (2006). Information literacy and the role of librarian. In 4th International Convention CALIBER-2006, Gulbarga, 2-4 February, 2006 (pp. 390–398). Ahmedabad: INFLIBNET Centre.
Ferguson, J. E., Neely, T. Y., & Sullivan, K. (2016). A Baseline Information Literacy Assessment of Biology Students. Reference & User Services Quarterly, 46(2), 61–71.
Freeman, L. C. (1978). Centrality in Social Networks Conceptual Clarification. Social Networks, 1, 215–239.
Gupta, B. M., & Dhawan, S. M. (2009). Status of India in science and technology as reflected in its publication output in the Scopus international database , 1996 – 2006. Scientometrics, 80(2), 475–492. https://doi.org/10.1007/s11192-008-2083-y
Hariri, N., Shekofteh, M., & Yekta, A. S. (2008). Co-citation scientific maps : A case study of medical sciences in Iran. Journal of Paramedical Sciences, 3(1), 47–60.
Ilhan, N., Gunduz-Oguducu, S., & Etaner-Uyar, A. S. (2014). Introduction to Social Networks : Analysis and Case Studies. In S. Gunduz-Oguducu & A. S. Etaner-Uyar (Eds.), Lecture Notes in Social Networks (pp. 1–18). © Springer-Verlag Wien. https://doi.org/10.1007/978-3-7091-1797-2
Islam, M. A., & Tsuji, K. (2010). Assessing information literacy competency of Information Science and Library Management graduate students of Dhaka University. International Federation of Library Associations and Institutions (IFLA), 36(4), 300–316. https://doi.org/10.1177/0340035210388243
Ji, S., Liu, S., & Zhao, Y. (2015). Visualisation analysis of the international research of marine spatial planning. In S. Zhou, A. Patty, & S. Chen (Eds.), Advances in Energy Equipment Science and Engineering: Proceedings of the International Conference on Energy Equipment Science and Engineering, (ICEESE 2015), May 30-31, 2015, (p. 2894). Guangzhou, China.
Julien, H., & Barker, S. (2009). How high-school students find and evaluate scientific information: A basis for information literacy skills development. Library & Information Science Research, 31, 12–17.
Kirk, J. (2004). Information and work: Extending the roles of information professionals. In Challenging ideas: Australian Library and Information Association 2004 biennial conference.
Krackhardt, D. (2010). Social networks. In J. M. Levine & M. A. Hogg (Eds.), Encyclopedia of group processes and intergroup relations (pp. 817–821). Los Angles: Sage.
Lata, S., & Sharma, S. (2013). Information Literacy among Faculty and Students of Postgraduate Institute of Medical Education and Research , Chandigarh and Pt . B . D . Sharma University of Health Sciences , Rohtak. International Journal of Information Dissemination and Technology, 3(4), 244–248.
Leydesdorff, L. (2007). “ Betweenness Centrality ” as an Indicator of the “ Interdisciplinarity ” of Scientific Journals. Journal of the American Society for Information Science and Technology, 58(9), 1303–1309.
Liu, L., & Mei, S. (2016). Visualizing the GVC research: a co-occurrence network based bibliometric analysis. Scientometrics, 109, 953–977. https://doi.org/10.1007/s11192-016-2100-5
Liu, Z., Yin, Y., Liu, W., & Dunford, M. (2015). Visualizing the intellectual structure and evolution of innovation systems research : a bibliometric analysis. Scientometrics, 103, 135–158. https://doi.org/10.1007/s11192-014-1517-y
Lloyd, A. (2005). Information literacy: Different contexts, different concepts, different truths? Journal of Librarianship and Information Science, 37, 82–88.
Majumdar, S., & Singh, R. (2007). Information Literacy and Competency Programme in Academic Libraries: A Case Study of DULS. In 5th International CALIBER-2007, Panjab University, Chandigarh, 08-10 February, 2007 (pp. 608–616). Ahmedabad: INFLIBNET Centre.
Milojevic, S. (2014). Network Analysis and Indicators. In Y. et al. Ding (Ed.), Measuring Scholarly Impact (pp. 57–82). Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-10377-8
Nanda, A., & Ramesh, D. B. (2012). Assessment of Information and Communication Technology (ICT) Literacy among Teachers and Practitioners in the Field of Disability. International Journal of Information Dissemination and Technology, 2(1), 54–61.
Newman, M. E. J. (2001). The Structure of Scientific Collaboration Networks. Proceedings of the National Academy of Sciences of the United States of America, 98(2), 404–409.
Persson, O., Danell, R., & Schneider, J. W. (2009). How to use Bibexcel for various types of bibliometric analysis. In . F. Åström, R. Danell, B. Larsen, & J. Schneider (Eds.), Celebrating scholarly communication studies: A Festschrift for Olle Persson at his 60th Birthday (pp. 9–24). Leuven, Belgium: International Society for Scientometrics and Informetrics.
Scott, J. (2000). Social network analysis: A handbook (2nd ed). London: Sage Publications.
Singh, P. K. (2015). Assessing the Information Literacy among Agricultural Science Undergraduate Students of BHU. In 60th ILA International Conference (Diamond Jubilee) on Embedded Librarianship and Technological challenges of the Digital Age (pp. 460–469).
Van Eck, N. J., & Waltman, L. (2010). Software survey : VOSviewer , a computer program for bibliometric mapping. Scientometrics, 84, 523–538. https://doi.org/10.1007/s11192-009-0146-3
Van Eck, N. J., & Waltman, L. (2014). Visualizing Bibliometric Networks. In Y. et al Ding (Ed.), Measuring Scholarly Impact (pp. 285–320). Springer. https://doi.org/10.1007/978-3-319-10377-8
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. New York, NY: Cambridge University Press.
Yao, Q., Chen, K., Yao, L., Lyu, P., Yang, T., Luo, F., … He, L. (2014). Scientometric trends and knowledge maps of global health systems research. Health Research Policy and Systems, 12(26). https://doi.org/doi:10.1186/1478-4505-12-26
Yao, Q., Lyu, P., Ma, F., Yao, L., & Zhang, S. (2013). Global informetric perspective studies on translational medical research. BMC Medical Informatics and Decision Making, 13(77), 1–15. https://doi.org/10.1186/1472-6947-13-77
Zhang, M. (2010). Social Network Analysis : History , Concepts , and Research. In B. Furth (Ed.), Handbook of Social Network Technologies and Applications (pp. 5–21). Springer Science+Business Media, LLC. https://doi.org/10.1007/978-1-4419-7142-5
Zhu, W., & Guan, J. (2013). A bibliometric study of service innovation research : based on complex network analysis. Scientometrics, 94, 1195–1216. https://doi.org/10.1007/s11192-012-0888-1
IL is important due to its potentiality to optimize the use of available information and to transform the novice into self-directed lifelong learners. It has gained ground and much attention in every field of knowledge which is assured by rapid increase in related literature. Since, the IL skills require subject-oriented approach not only to develop standard, guide, framework, tools, etc. but also to evaluate, assess, and impact of IL skills. Thus, measuring of the subject areas of IL publications and it co-occurrence is imperative and the objective of the present study. Based on data from Scopus database, network visualization technique is applied for the measure subject areas co-occurrence and related trends in the IL research articles published during 2001-16. IL publications show linear growth in the study period and trend is also in the same line. IL publications are spread into 26 out of 27 subject areas of Scopus database while there is research gap in Immunology and Microbiology. Social Science is observes as the core subject area while Computer Sciences, Arts and Humanities, Engineering, and Medicine are playing key role in IL research and practices. Social Sciences control the knowledge flow in the network i.e. every new ideas in the network is communicated through this. Highest co-occurrences are observed in Social Sciences and Computer Science followed by Social Sciences--Arts and Humanities; Social Sciences--Business, Management and Accounting; and Social Sciences--Medicine. The findings of the study are proxy of the current status and trend in the subject areas of worldwide IL publications thus provides panoramic view of IL publications in different subjects of world of knowledge.