Visualizing Personalized Multifaceted ad-hoc Social Network

We demonstrate a novel personalized, multifaceted entity-relation graph visualization. Since entities we are linked to are part of our lives (and profile) and help to understand who we are and what are we interested we enable users to explore entities they are linked to in a specific context. For that purpose, we adapt the typed entity-relation graph (profile) concept. In the context of an academic conference, we allow scholars to explore a graph of related entities and a word cloud representing the links, providing the user a comprehensive, compact and structured overview about the explored scholar. In this demonstration, the users, as case study are the participants of UMAP'20, will be asked to explore an entity relation graph (profile) of a given participant (who accepted that his profile be presented to others for the matter of this research), and then based on this process, to give feedback about each of the visualization elements and the overall experience. Based on the informative feedbacks elicited, we will be able to evaluate to what extent this visualization would help in giving comprehensive overview in the exploration of any given scholar profile.