A network analysis of the EADV 2019 conference Editor In 2019, the annual congress of the European Academy of Dermatology and Venereology (EADV) was held in Madrid, Spain, with around 13 000 visitors from over 100 countries, providing a jaw-dropping number of 1280 lectures and 1941 posters. 1 Because of the sheer volume, it is hard to grasp which topics were especially focused on and which, conversely, were rather underrepresented. An upcoming computational method to process, analyse and visualize big data of any size to make it accessible for interpretation is network analysis, which is widely used in social and political sciences 2,3 but rarely in the medical field. 4,5 To gain an in-depth insight into the EADV 2019, its collaborators and themes, we performed a network analysis based on the titles of all lectures and posters. Data were extracted from the official program pdf file using tabula v1.2.1 open-source software 6 and then preprocessed using custom-written python code. The extracted data were first split into titles, countries, cities and authors, cleaned from filling words like 'and' and standardized, e.g. 'Acne inversa' and 'Hidradenitis suppurativa'. Figure 1 Visualization of the geographical origins of the submissions in Google Maps. The areas are colour coded in shades of yellow and red, depending on the number of contributions. Red indicates an area with particular activity. An interactive map can be accessed by QR code.