2009
DOI: 10.1007/s11192-009-0146-3
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Software survey: VOSviewer, a computer program for bibliometric mapping

Abstract: We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying… Show more

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Cited by 12,171 publications
(7,516 citation statements)
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References 37 publications
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“…A free bibliometric software, called VOSViewer version 1.6.6 [12] was utilized to visualize the evolving research trends and collaboration pattern. The bibliometric corpus was converted into a Social Network Analysis (SNA) graph using VOSViewer.…”
Section: Methodsmentioning
confidence: 99%
“…A free bibliometric software, called VOSViewer version 1.6.6 [12] was utilized to visualize the evolving research trends and collaboration pattern. The bibliometric corpus was converted into a Social Network Analysis (SNA) graph using VOSViewer.…”
Section: Methodsmentioning
confidence: 99%
“…Title and abstract information for each publication was merged into a single text corpus file for the period under consideration and analysed using the VOSviewer visualization tool (www.vosviewer.com) [5][6][7]. With an emphasis on visualization, the computer program employs a text mining function and associated natural language processing to identify relevant noun phrases in combination with a unified mapping and clustering approach to examine network co-citation data and the co-occurrence of scientific terms.…”
Section: Methodsmentioning
confidence: 99%
“…We used a tool for natural language processing (Leydesdorff & Welbers, 2011) to calculate the correlations between the most frequently used words in each of the datasets. We then conducted a factor analysis to identify word groups (included in Table 2), 2 visualizing the ensuing semantic networks by using Pajek (Batagelj & Mrvar, 2004) and VosViewer (Van Eck & Waltman, 2009). This analysis provided useful insights into what our two groups of informants expressed most commonly in terms of their informal client contact, and helped to identify additional, sometimes subtle themes that remained latent in the qualitative interpretive analysis.…”
Section: Setting and Methodsmentioning
confidence: 99%