Kaczmarczyk Robert, King Felix, Biedermann Tilo, Zink Alexander
Department of Dermatology and Allergy, School of Medicine, Technical University of Munich, Munich, Germany.
Digit Health. 2021 Apr 21;7:20552076211012138. doi: 10.1177/20552076211012138. eCollection 2021 Jan-Dec.
Every two years, German-speaking dermatologic specialist groups gather in Berlin to share the latest developments at Germanýs largest dermatologic conference, the Annual Meeting of the Germany Society of Dermatology (DDG). Because this conference has a lasting effect on dermatologic practice and research, understanding what is moving the specialist groups means understanding what is driving dermatology in Germany.
We used word network analysis to compile and visualize the information embedded in the contribution titles to the DDG Annual Meeting in 2019. We extracted words, contributing cities and inter-connections. The data was standardized, visualized using network graphs and analyzed using common network analysis parameters.
A total of 5509 words were extracted from 1150 contribution titles. The most frequently used words were "therapy", "patients", and "psoriasis". The highest number of contributions came from Hamburg, Berlin and Munich. High diversity in research topics was found, as well as a well-connected research network.
Focus of the well-connected German-speaking dermatology community meeting 2019 was patient and therapy centered and lies especially on the diseases psoriasis and melanoma. Network graph analysis can provide helpful insights and help planning future congresses. It can facilitate the choice which contributors to include as imbalances become apparent. Moreover, it can help distributing the topics more evenly across the whole dermatologic spectrum.
每隔两年，德语区皮肤科专家小组齐聚柏林，在德国最大的皮肤科会议——德国皮肤病学会（DDG）年会上分享最新进展。由于该会议对皮肤科实践和研究具有持久影响，了解推动专家小组的因素意味着了解德国皮肤科发展的驱动力。
我们使用词网络分析来整理和可视化2019年DDG年会投稿标题中包含的信息。我们提取了单词、投稿城市和相互联系。数据经过标准化处理，使用网络图进行可视化，并使用常见的网络分析参数进行分析。
从1150个投稿标题中总共提取了5509个单词。最常用的单词是“治疗”“患者”和“银屑病”。投稿数量最多的城市是汉堡、柏林和慕尼黑。研究主题具有高度多样性，且研究网络联系紧密。
2019年联系紧密的德语区皮肤科社区会议的重点是以患者和治疗为中心，尤其关注银屑病和黑色素瘤等疾病。网络图分析可以提供有用的见解，并有助于规划未来的会议。当不平衡现象明显时，它可以帮助选择纳入哪些投稿者。此外，它可以帮助在整个皮肤科领域更均匀地分布主题。
