Scientific production networks in Knowledge Organization: possible author and citation visualization and analysis
DOI:
https://doi.org/10.54886/scire.v21i1.4151Keywords:
Knowledge organization, Knowledge representation, Indexing languages, Knowledge organization systems, Scientific networks, Bibliometric analysis, Social network analysisAbstract
The scientific production on knowledge organization systems in Spanish, French and Portuguese between 1997 and 2011, obtained from the reference databases Library Information Science Abstract (LISA), Library, Information Science & Technology Abstracts (LISTA), Scopus and Web of Science is analyzed. For the organization of data and identification of the scientific networks, we used bibliometric methods, notably, Social Network Analysis (SNA). The results allowed us to gather information on the distribution of articles by language, journals, co-occurrence of keywords, thematic groups, and the identification of networks among authors, citations, and thematic groups. For the authorship analysis, we used the law of elitism, which allowed us to identify a research elite and a group of corresponding search.
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
© 1996- . Authors retain their copyright, but transfer the exploitation rights (reproduction, distribution, public communication and transformation) to the journal in a non-exclusive way and guarantee the right to the first publication of their work to the journal, which will be simultaneously subjected to the license CC BY-NC-ND. Authors take whole personal responsibility on fulfilling all the appropiate ethical codes and laws, and obtaining all the necessary copyright permissions regarding their articles. Institutional and self- archiving is allowed and encouraged.