Guest Lecture by Sara Di Bartolomeo: "Information Visualization Perspectives on Network Visualization"

Networks can be represented and explored in many ways. Node–link diagrams and adjacency matrices are the most familiar choices, each supporting different tasks and reasoning strategies. From an information visualization perspective, the goal is less about finding a single correct layout and more about designing representations that match the questions people ask of their data.

When? 15.10.2025 11:00-12:00

Where? SR6, Währinger Straße 29

Guest lecturer: Sara Di Bartolomeo

Title: Information Visualization Perspectives on Network Visualization

Abstract: The talk will touch on three themes: first comes task-driven visualization: how encodings support activities such as path finding, neighborhood inspection, or degree estimation. Next is the challenge of multivariate networks, where attributes on nodes and edges must be integrated into visual form. The third theme is evaluation: how to assess the effectiveness of layout algorithms using metrics, comparisons, and user studies. Through the lecture, we will use Biofabric as a running example --- Biofabric is an alternative network visualization (akin to node-link or adjacency matrix), still underexplored in many aspects, which opens up many questions for network visualization research.

Short Bio: Sara Di Bartolomeo is a postdoc at TU Wien, in the Algorithms and Complexity group. She graduated with a PhD from Northeastern University in Boston, and was previously a postdoc at the University of Konstanz. Her research interests focus on graph drawing and visualization, particularly on designing algorithms and methods and how they are evaluated.

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