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Visualization and analysis of SCImago Journal & Country Rank structure via journal clustering

AutorGómez-Núñez, Antonio Jesús ; Vargas-Quesada, Benjamín; Chinchilla-Rodríguez, Zaida ; Batagelj, Vladimir; Moya-Anegón, Félix
Palabras claveClassification
Clustering
Information Visualization
Citation-based links
Scientograms
SCImago Journal & Country Rank
Fecha de publicación2016
EditorEmerald Group Publishing
CitaciónAslib Journal of Information Management
ResumenPurpose: The purpose of this paper is to visualize the structure of SCImago Journal & Country Rank (SJR) coverage of the extensive citation network of Scopus journals, examining this bibliometric portal through an alternative approach, applying clustering and visualization techniques to a combination of citation-based links. Design/methodology/approach:Three SJR journal-journal networks containing direct citation, co-citation and bibliographic coupling links are built. The three networks were then combined into a new one by summing up their values, which were later normalized through geo-normalization measure. Finally, the VOS clustering algorithm was executed and the journal clusters obtained were labeled using original SJR category tags and significant words from journal titles. Findings: The resultant scientogram displays the SJR structure through a set of communities equivalent to SJR categories that represent the subject contents of the journals they cover. A higher level of aggregation by areas provides a broad view of the SJR structure, facilitating its analysis and visualization at the same time. Originality/value: This is the first study using Persson’s combination of most popular citation-based links (direct citation, co-citation and bibliographic coupling) in order to develop a scientogram based on Scopus journals from SJR. The integration of the three measures along with performance of the VOS community detection algorithm gave a balanced set of clusters. The resulting scientogram is useful for assessing and validating previous classifications as well as for information retrieval and domain analysis.
DescripciónGómez-Núñez, Antonio Jesús, Vargas-Quesada, Benjamín, Batagelj, Vladimir, Moya-Anegón, Félix, Chinchilla-Rodríguez, Zaida. (2016). Visualization and analysis of SCImago Journal & Country Rank structure via journal clustering. Aslib Journal of Information Management, 68(5), 607-627
Versión del editorwww.emeraldinsight.com/doi/abs/10.1108/AJIM-12-2015-0205
URIhttp://hdl.handle.net/10261/142205
ISSN2050-3806
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