APRIL 18-21, 2017
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SignalTreeExplorer: A Multi-Tree Comparison System for Visually Exploring Time Sequential Communication Data

  • Guozheng Li
    Peking University, Beijing, China
  • Yu Zhang
    Peking University, Beijing, China
  • Siming Chen
    Peking University, Beijing, China
  • Haocheng Zhang
    Shanghai Jiao Tong University, Shanghai, China
  • Jie Liang
    University of Technology, Sydney, Sydney, Australia
  • Xiaoju Dong
    Shanghai Jiao Tong University, Shanghai, China
  • jinsong wang
    Fudan University, Shanghai, China
  • Xiaoru Yuan
    Peking University, Beijing, China


With the rapid development of communication technology, the capability of providing situation awareness in the scenarios with complex communication data is essential. Communication data have hierarchical structure and could be built as signal trees. However, the quick generation, considerable diversity, and complex patterns/anomalies of signal trees presents a great challenge for understanding and exploring communication data for analysts. We propose SignalTreeExplorer to facilitate visual analysis for time sequential communication data, through comparison of multiple signal trees at different granularity level concurrently. Furthermore, usage scenarios in this paper which help analysts gain insights into patterns and anomalies of communication data demonstrate the usefulness of SignalTreeExplorer.