ArtVis Dynamic Network Perspectives on Digital Art History


Austrian Science Fund (FWF), grant [P35767]; Grant-DOI [10.55776/P35767]


In order to better understand the history of art a major challenge of Digital Art History (DAH) is to understand how the components of the art system (persons, objects, places, institutions, and events) interacted with each other and how these interactions vary over time. The aim of our project is to model such complex relations through the use of Network Visualization (NetVis). Networks have a wide range of application in many domains, including social sciences, software engineering, and economics. NetVis has proven to be a successful tool to model data and phenomena for tasks in these domains, yet most modern solutions do not account for the complex aspects of the data and their dynamic. Real-world data is rarely static and for most application domains and problems it is essential to model and visualize the evolution and change of attributes and characteristics in the network, its actors, their relationships, and movement over time.

CREA LabTU Wien Informatics


Velitchko Filipov, Davide Ceneda, Daniel Archambault, Alessio Arleo, "TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs", Proceedings of the International Symposium on Graph Drawing and Network Visualization, vol. 14465, 2024.
Johanna Schmidt, Bernhard Pointner, Silvia Miksch, "Visual Analytics for Understanding Draco s Knowledge Base", IEEE Transactions on Visualization and Computer Graphics, vol. 30, pp. 392-402, 2024.
Claudio Di Ciccio, Silvia Miksch, Pnina Soffer, Barbara Weber, Giovanni Meroni, "Human in the (Process) Mines (Dagstuhl Seminar 23271)", Dagstuhl Reports, vol. 13, pp. 1-33, 2024. paper
Velitchko Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch, "On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings", Lecture Notes in Computer Science, vol. 13764, pp. 271-288, 2023.
Velitchko Filipov, Alessio Arleo, Silvia Miksch, "Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies", Computer Graphics Forum, 2023.
Wolfgang Aigner, Silvia Miksch, Heidrun Schumann, Christian Tominski, "Visualization of Time-Oriented Data", , 2023. paper
Victor Schetinger, Sara Di Bartolomeo, Mennatallah El-Assady, Andrew McNutt, Matthias Miller, J.P.A. Passos, Jane Lydia Adams, "Doom or Deliciousness: Challenges and Opportunities for Visualization in the Age of Generative Models", Computer Graphics Forum, vol. 42, pp. 423-435, 2023.
Velitchko Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch, "On Network Structural and Temporal Encodings: A Space and Time Odyssey", IEEE Transactions on Visualization and Computer Graphics, pp. 1-14, 2023.
Aoyu Wu, Dazhen Deng, Min Chen, Shixia Liu, Daniel Keim, Ross Maciejewski, Silvia Miksch, Hendrik Strobelt, Fernanda Viégas, Martin Wattenberg, "Grand Challenges in Visual Analytics Applications", IEEE Computer Graphics and Applications, vol. 43, pp. 83-90, 2023.
Velitchko Filipov, Alessio Arleo, Tatiana von Landesberger, Daniel Archambault, "Back to the Graphs: A Collection of Datasets and Quality Criteria for Temporal Networks Layout and Visualization", , 2023.
Teresa Kamencek, Velitchko Filipov, Victor Schetinger, Silvia Miksch, Raphael Rosenberg, "TimeScapes: Towards a Visual Characterization of Modern Artist Exhibition Acitvity", , 2023.