Structure-Based Suggestive Exploration: A New Approach for Effective Exploration of Large Networks

@article{Chen2018StructureBasedSE,
  title={Structure-Based Suggestive Exploration: A New Approach for Effective Exploration of Large Networks},
  author={Wei Chen and Fangzhou Guo and Dongming Han and Jacheng Pan and Xiaotao Nie and Jiazhi Xia and Xiaolong Zhang},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  year={2018},
  volume={25},
  pages={555-565}
}
When analyzing a visualized network, users need to explore different sections of the network to gain insight. However, effective exploration of large networks is often a challenge. While various tools are available for users to explore the global and local features of a network, these tools usually require significant interaction activities, such as repetitive navigation actions to follow network nodes and edges. In this paper, we propose a structure-based suggestive exploration approach to… CONTINUE READING

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SHOWING 1-10 OF 79 REFERENCES

RAGE - A rapid graphlet enumerator for large networks

  • Computer Networks
  • 2012
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Analyzing the Training Processes of Deep Generative Models

  • IEEE Transactions on Visualization and Computer Graphics
  • 2018
VIEW 1 EXCERPT

StreamExplorer: A Multi-Stage System for Visually Exploring Events in Social Streams

  • IEEE Transactions on Visualization and Computer Graphics
  • 2018
VIEW 1 EXCERPT

VIGOR: Interactive Visual Exploration of Graph Query Results

  • IEEE Transactions on Visualization and Computer Graphics
  • 2018
VIEW 3 EXCERPTS