Exploring Dynamic Multilayer Graphs for Digital Humanities

Stefan Bornhofen (1) , Marten Düring (2)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 University of Luxembourg [Luxembourg]

The paper presents Intergraph, a graph-based visual analytics platform for the exploration and study of content in Digital Humanities document collections. The designed prototype is motivated by a practical use case on a corpus of circa 15.000 digitized resources about European integration since 1945. The corpus allowed generating a dynamic multilayer network which represents different kinds of named entities appearing and co-appearing in the collections. To our knowledge, Intergraph is one of the first interactive tools to visualize dynamic multilayer graphs for content in digital collections. Graph visualization and interaction methods have been designed for users without a strong background in network science, and to compensate for common flaws with the annotation of named entities. Users work with a structured and understandable amount of currently relevant data by interacting with a scene of small graphs which can be added, altered and compared. This allows an interest-driven navigation in the corpus and the discovery of the interconnections of its entities across time.

Mots clés: visual analytics; network visualization; dynamic multilayer networks; digital humanities

Domaines: Ingénierie, finance et science [cs.CE]

Stefan Bornhofen, Marten Düring. Exploring Dynamic Multilayer Graphs for Digital Humanities. 10th Conference on Network Modeling and Analysis, MARAMI, Nov 2019, Dijon, France. ⟨hal-03019514⟩