Scalability of Network Visualisation from a Cognitive Load Perspective

@article{Yoghourdjian2021ScalabilityON,
  title={Scalability of Network Visualisation from a Cognitive Load Perspective},
  author={Vahan Yoghourdjian and Yalong Yang and Tim Dwyer and Lawrence Lee and Michael Wybrow and Kim Marriott},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2021},
  volume={27},
  pages={1677-1687}
}
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 certain degree of complexity, requiring simplification through aggregation or interaction (such as filtering) to remain usable. Until now, there has been little data to indicate at what level of complexity node-link diagrams become ineffective or how visual complexity affects cognitive load. To this end, we conducted a… Expand

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