Learn to Create Term Co-occurrence Map Visualizations in VOSviewer Using Publication Data from OpenAlex
This dataset outlines how to create a network visualization map (term co-occurrence map) in VOSviewer using publication data about interprofessional collaboration in healthcare teams retrieved from OpenAlex. VOSviewer is a bibliometric and text mining software developed by Leiden University research...
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| Format: | eBook |
| Language: | Undetermined |
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SAGE Publications Ltd
2025
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | This dataset outlines how to create a network visualization map (term co-occurrence map) in VOSviewer using publication data about interprofessional collaboration in healthcare teams retrieved from OpenAlex. VOSviewer is a bibliometric and text mining software developed by Leiden University researchers. Term maps can be used to gain perspective about the overall picture of a body of literature (in this case, via four clusters), as well as examine term frequencies and relatedness to other terms within the collected works. While exploring the term map visualizations, students will be exposed to important concepts such as data mining, application programming interfaces (APIs), natural language processing (NLP), and citation impact. High citation impact terms in this dataset included system, context, barrier, integrated care, primary care, policy, and facilitator. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide. |
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| Physical Description: | 1 online resource |
| ISBN: | 9781036209537 1036209539 |