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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 yuzhang94 (at) pku.edu.cn
  Peking University, Beijing, China
• Siming Chen siming.chen (at) pku.edu.cn
  Peking University, Beijing, China
• Haocheng Zhang haocheng.zhang111 (at) gmail.com
  Shanghai Jiao Tong University, Shanghai, China
• Jie Liang christy.jie (at) gmail.com
  University of Technology, Sydney, Sydney, Australia
• Xiaoju Dong xjdong (at) sjtu.edu.cn
  Shanghai Jiao Tong University, Shanghai, China
• jinsong wang jinsong.wang (at) 126.com
  Fudan University, Shanghai, China
• Xiaoru Yuan xiaoru.yuan (at) gmail.com
  Peking University, Beijing, China

Abstract

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.