Collaboration networks and word cloud

A total of 296 articles on COVID-19 in the field of Dentistry published from February to September 6, 2020, is presented through collaboration networks and word cloud. The scientific collaboration network where nodes are authors and links are co-authorships is given in Appendix Network file 1, revealing regular study groups and pivotal authors of the Covid-19 research in the field of Dentistry. The collaboration network among the 250 most productive institutions can be explored through Appendix Network file 2, where colours are used to make distinctions between different clusters, and the size of the nodes representing institutions indicates the total number of identified COVID-19 articles. The social structure represented on a macro level using the collaboration network among countries is given in Appendix network file 3. The overview of the authors' keywords revealing COVID-19 interests of dental researchers and the frequency of their occurrence is shown in Appendix Word Cloud 1. Bibliometric networks were graphically presented using R packages bibliometrix version 3.0.2 and wordcloud2 version 0.2.1.

本数据集收录了2020年2月至2020年9月6日期间发表的296篇口腔医学（Dentistry）领域新型冠状病毒肺炎（COVID-19）相关研究论文，并通过合作网络与词云进行可视化呈现。以作者为节点、合著关系为边的科学合作网络见附录网络文件1，该网络揭示了口腔医学领域COVID-19研究的固定研究群组与核心作者。可通过附录网络文件2探究发文量排名前250的机构间合作网络：该网络以颜色区分不同聚类，代表机构的节点尺寸对应其收录的COVID-19相关论文总数量。以国家合作为基础构建的宏观层面社会结构网络见附录网络文件3。反映口腔医学研究者COVID-19研究兴趣的作者关键词概览及其出现频率，见附录词云文件1。本数据集的文献计量网络均通过R语言扩展包bibliometrix（3.0.2版）与wordcloud2（0.2.1版）完成可视化绘制。