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Software survey: VOSviewer, a computer program for bibliometric mapping
VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
Visualizing Bibliometric Networks
This chapter provides an introduction to the topic of visualizing bibliometric networks and focuses specifically on two software tools: VOSviewer and CitNetExplorer.
From Louvain to Leiden: guaranteeing well-connected communities
The Leiden algorithm is found to be faster than the Louvain algorithm and uncovers better partitions, in addition to providing explicit guarantees on communities that are guaranteed to be connected.
A unified approach to mapping and clustering of bibliometric networks
How to normalize cooccurrence data? An analysis of some well-known similarity measures
This article theoretically analyze the properties of similarity measures for cooccurrence data, focusing in particular on four well-known measures: the association strength, the cosine, the inclusion index, and the Jaccard index.
Citation-based clustering of publications using CitNetExplorer and VOSviewer
Using the approach presented in this paper, bibliometricians are able to carry out sophisticated cluster analyses without the need to have a deep knowledge of clustering techniques and without requiring advanced computer skills.
The Leiden ranking 2011/2012: Data collection, indicators, and interpretation
The Leiden Ranking is compared with other global university rankings, in particular the Academic Ranking of World Universities (commonly known as the Shanghai Ranking) and the Times Higher Education World University Rankings, and the comparison focuses on the methodological choices underlying the different rankings.
CitNetExplorer: A new software tool for analyzing and visualizing citation networks
Text mining and visualization using VOSviewer
In this report, the new text mining functionality of VOSviewer is presented and a number of examples are given of applications in which VOSViewer is used for analyzing large amounts of text data.