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. 2021 Jul 9;9:654481. doi: 10.3389/fpubh.2021.654481

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Copyright © 2021 Yeung, Kletecka-Pulker, Eibensteiner, Plunger, Völkl-Kernstock, Willschke and Atanasov.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Keyword map showing the recurring author keywords (at least n = 5) from the papers concerning Twitter and health. Bubble size indicated the number of papers mentioning the term. Bubble color indicated the clustering. The default parameters of VOSviewer were used and the minimal cluster size was set as 20. There were 66 keywords in cluster 1 (red) related to professional education in healthcare sector; 52 words in cluster 2 (green) related to the big data and sentiment analysis; 41 words in cluster 3 (blue) related to the social marketing and substance use; 34 words in cluster 4 (yellow) related to the physical and emotional well-being of young adults; 28 words in cluster 5 (purple) related to public health and health communication; 21 words in cluster 6 (indigo) related to various social media such as Facebook and YouTube. The proximity between bubbles indicated how frequently the terms were mentioned in the same papers.