Muse: Visualizing the origins and connections of institutions based on co-authorship of publications

This paper introduces Muse, an interactive visualization of publications to explore the collaborations between institutions. For this, the data on co-authorship is utilized, as these signify an existing level of collaboration. The affiliations of authors are geo-located, resulting in relations not only among institutions, but also between regions and countries. We explain our ideas behind the visualization and the interactions, and briefly describe the data processing and the implementation of the working prototype. The prototype focuses on a visualization for large tabletop displays, enabling multiple users to explore their personal networks, as well as emerging patterns in shared networks within a collaborative public setting. For the prototype we used the publication data of the EC-TEL conference.