Lexical Cartography of Scientific Communities
Lexical Cartography is a visual model to visualize scientific communities using a metric of language similarity relying on written documents.
From a distant view, the web interface presents communities in a series of thematic clusters composed of word clouds; by zooming, scholars appear contextualized in their neighborhoods of language-similar peers.
The visual method has been applied to different case studies, which include conferences such as SPT2021, DH2020, DH2019, AIUCD2020, and the scientific community of COVID-19. This last instance was awarded for the best data visualization in digital humanities.
More information about Lexical Cartography is available through two conference articles titled Mapping as a Contemporary Instrument for Orientation in Conference and Reading Network Diagram by Using Contour Lines and Word Clouds.



