Scientific production networks in Knowledge Organization: possible author and citation visualization and analysis

Authors

  • Elaine Oliveira Lucas Universidade do Estado de Santa Catarina
  • Marilda Lopes Ginez de Lara Universidade de São Paulo

DOI:

https://doi.org/10.54886/scire.v21i1.4151

Keywords:

Knowledge organization, Knowledge representation, Indexing languages, Knowledge organization systems, Scientific networks, Bibliometric analysis, Social network analysis

Abstract

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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Published

2015-04-30

How to Cite

Lucas, E. O., & Lara, M. L. G. de. (2015). Scientific production networks in Knowledge Organization: possible author and citation visualization and analysis. Scire: Knowledge Representation and Organization (ISSNe 2340-7042; ISSN 1135-3716), 21(1), 41–52. https://doi.org/10.54886/scire.v21i1.4151

Issue

Section

Articles