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2018 | 9 | 1 | 327-332

Article title

Mapping and Visualization of a Research Network: Case Study

Content

Title variants

Languages of publication

EN

Abstracts

EN
The article focuses on trends and methods as well as tools used for mapping and visualization of scientific domains as a research methodology which is attracting more and more interest from scientific information and science studies professionals; several factors which have contributed to such developments are also discussed. Science mapping or bibliometric mapping is a spatial repre-sentation of how disciplines, fields, specialties, and individual documents or authors are related to one another (Small, 1999). Different approaches have been developed to extract networks using the selected units of analysis (authors, documents, journals, terms, etc.). Furthermore, the authors looks at the most popular computer programs used for the processing of bibliographic and biblio-metric data.. In addition, plans and activities are presented concerning a comprehensive analysis of IRNet project (www.irnet.us.edu.pl) networking activities and numerous publications, using spe-cial ICT tools and study methods, first of all Pajek and presenting a several examples.

Year

Volume

9

Issue

1

Pages

327-332

Physical description

Contributors

  • Doktor habilitowany, University of Silesia in Katowice, Faculty of Ethnology and Sciences of Education in Cieszyn, Head of Department of Humanistic Education and Auxiliary Sciences of Pedagogy, Poland
  • Profesor doktor habilitowany, Borys Grinchenko Kyiv University, Corresponding Member of National Academy of Pedagogical Sciences of Ukraine, Vice-rector on Informational Technolo-gies, Ukraine
  • PhD, University of Life and Environmental Sciences of Ukraine, Department of Information and Distance Technology, Ukraine

References

  • Chen, Ch., Ibekwe-Sanjuan, F., Hou, J. (2010). The Structure and Dynamics of Co-citation Clusters: A Multiple-perspective Co-citation Analysis. Journal of the American Society for Information Science and Technology, 61 (7), 1386–1409.
  • Kamada, T., Kawai, S., (1988). An Algorithm for Drawing General Undirected Graphs. Informa-tion Processing Letters, 31, 7–15.
  • Osińska, V. (2010). Rozwój metod mapowania domen naukowych i potencjał analityczny w nim zawarty. zin, 2 (96), 41–51. Pobrane z: http://repozytorium.umk.pl/handle/item/463 (1.02.2017).
  • Osińska, W. (2016). Wizualizacja informacji. Toruń: Wyd. UMK.
  • Program Pajek. Pobrane z: http://mrvar.fdv.unilj.si/pajek// (1.02.2017).
  • Small, H. (1999). Visualizing Science by Citation Mapping. Journal of the American Society for Information Science, 50 (9), 799–813.
  • Smyrnova-Trybulska, E. (2017). Mapping and Visualization of Scientific Bibliometric Domains and Research Network Activities. In: M. Chruby (ed.), DLSC2017 Conference Proceedings (p. 301–308). Brno: University of Defence.
  • Zhao, D., Strotmann, A. (2008). Information Science during the first Decade of the Web: An Enriched Author Cocitation Analysis. Journal of the American Society for Information Science and Technology, 59 (6), 916–937.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-2c37c4c4-8e8e-4c88-9a50-1be057d274d5
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