For decades, researchers in information visualisation and graph drawing have focused on
developing techniques for the layout and display of very large and complex networks …

Node-link diagrams are widely used to visualise networks. However, even the best network
layout algorithms ultimately result in 'hairball'visualisations when the graph reaches a …

Research into how virtual reality (VR) can be a beneficial technology for new and emerging
large, complex data visualizations for data scientists is ongoing. In this paper, we evaluate …

Research into how virtual reality (VR) can be a beneficial technology for new and emerging
large, complex data visualisations for data scientists is ongoing. In this paper, we evaluate …

Wall-displays allow multiple users to simultaneously view and analyze large amounts of
information, such as the increasingly complex graphs present in domains like biology or …

Computational evaluations and benchmarks are widely used for validating graph and
network layout algorithms (aka graph drawing). These evaluations can provide the reader …

The scalability of graph layout algorithms has gradually improved for many years. However,
only recently a discussion has started to investigate the usefulness of established quality …

Network data that changes over time can be very useful for studying a wide range of
important phenomena, from how social network connections change to epidemiology …

Evaluations—encompassing computational evaluations, benchmarks and user studies—are
essential tools for validating the performance and applicability of graph and network layout …

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