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Bibliometric analysis of the field of folksonomy research / Tomislav Ivanjko, Sonja Špiranec.

By: Ivanjko, Tomislav.
Contributor(s): Špiranec, Sonja [aut].
Material type: ArticleArticlePublisher: 2015Description: 370-379 str.Other title: Bibliometric Analysis of the Field of Folksonomy Research [Naslov na engleskom:].Subject(s): 5.04 | folksonomies; social tagging; collaborative tagging; bibliometric analysis; webometrics | folksonomies; social tagging; collaborative tagging; bibliometric analysis; webometrics In: Re:inventing Information Science in the Networked Society International Symposium on Information Science, ISI (14 ; 2015 ; Zadar) str. 370-379Summary: The area of researching folksonomies is still in development, so theoretical perspective and research methods are still being defined. This study conducts a webometric and bibliometric analysis of the folksonomy research in the Library and Information science (LIS) field by collecting data from Web of Science (WOS), SCOPUS and Google Scholar in July 2014. It utilizes a total of 346 papers with 2660 citations from WOS and 1581 papers with 8848 citations from SCOPUS. In addition, Google Scholar database search was also included for providing a wider coverage of works published in conference proceedings, books and to include a wider journal base. Based on these results, research identifies most influential papers and authors across all three databases.
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The area of researching folksonomies is still in development, so theoretical perspective and research methods are still being defined. This study conducts a webometric and bibliometric analysis of the folksonomy research in the Library and Information science (LIS) field by collecting data from Web of Science (WOS), SCOPUS and Google Scholar in July 2014. It utilizes a total of 346 papers with 2660 citations from WOS and 1581 papers with 8848 citations from SCOPUS. In addition, Google Scholar database search was also included for providing a wider coverage of works published in conference proceedings, books and to include a wider journal base. Based on these results, research identifies most influential papers and authors across all three databases.

Projekt MZOS projekt

ENG

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