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Uncertainty Network Visualization Method Based on  Multilevel Graph Layout Algorithm

  

  1. College of Computer Science & Software Engineering, Shenzhen University, Shenzhen Guangdong 518060, China
  • Online:2018-12-31 Published:2019-02-20

Abstract: Visualizing uncertainty networks has become a hot topic in the field of data visualization in recent years, because more and more data contains uncertainties. In the uncertainty visualization research, a method based on the probability graph layout is fairly effective by using an anchoring algorithm to make good visualization of uncertain networks and reflect the probability distribution of the networks. However, the method has two limitations, the high time complexity and unstable layout. To address these issues, we propose an uncertainty network visualization method based on multilevel graph layout algorithm. This method combines the multilevel graph layout algorithm with anchoring algorithm, and improves the limitations of the original method. Experimental results demonstrate that our improved algorithm has higher time efficiency compared with the original method, and the generated graph structure is more stable.

Key words:  uncertainty visualization, multilevel graph layout, probabilistic graph, graph anchoring algorithm