Descriptor networks and communities in Library and Information Science articles (1971-2020)
analysis of their temporal evolution through Network Analysis Techniques
DOI:
https://doi.org/10.54886/scire.v27i1.4778Keywords:
Descriptors, Keywords, Network analysis techniques, NetCoin, Library and information science, Bibliometrics, Community detectionAbstract
This paper examines the keywords selected by its authors to describe their own scholarly work in the subject field of Library and Information Science collected in the Web of Science portal between 1971 and 2020. The main thematic subfields of research in this discipline have been identified by means of communities search algorithms of network analysis, and their temporal evolution has been analyzed through the use of dynamic networks. Results show keywords with high frequency, but associated with another keywords evolving over time, suggesting specializwed topics. There are, besides, thematic groups of keywords well defined; among the thirteen areas found, the main ones have been grouped around six broad interrelated descriptors: bibliometrics, library, e_government, e_commerce, information_literacy and knowledge_management, whose evolutions are manifested in different patterns.
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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.