226 citations · 762 across the 90 of their papers we have counts for
11 papers · 1 filter
The Census-Stub Graph Invariant Descriptor
Matt I. B. Oddo, Stephen Kobourov, Tamara Munzner
An invariant descriptor captures meaningful structural features of networks, useful where traditional visualizations, like node-link views, face challenges like the hairball phenom…
Balancing between the Local and Global Structures (LGS) in Graph Embedding
Jacob Miller, Vahan Huroyan, Stephen Kobourov
We present a method for balancing between the Local and Global Structures (LGS) in graph embedding, via a tunable parameter. Some embedding methods aim to capture global structures…
2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality
Stefan P. Feyer, Bruno Pinaud, Stephen G. Kobourov +6
Relational information between different types of entities is often modelled by a multilayer network (MLN) -- a network with subnetworks represented by layers. The layers of an MLN…
On the Readability of Abstract Set Visualizations
Markus Wallinger, Ben Jacobsen, Stephen Kobourov +1
Set systems are used to model data that naturally arises in many contexts: social networks have communities, musicians have genres, and patients have symptoms. Visualizations that…
Revisited Experimental Comparison of Node-Link and Matrix Representations
Mershack Okoe, Radu Jianu, Stephen Kobourov
Visualizing network data is applicable in domains such as biology, engineering, and social sciences. We report the results of a study comparing the effectiveness of the two primary…
The State of the Art in Cartograms
Sabrina Nusrat, Stephen Kobourov
Cartograms combine statistical and geographical information in thematic maps, where areas of geographical regions (e.g., countries, states) are scaled in proportion to some statist…