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Vis Inf
Vis Inf  2018, Vol. 2 Issue (4): 213-224    DOI: 10.1016/j.visinf.2018.12.002
论文     
交互式网络分析过程的简明概括 
Takanori Fujiwara, Tarik Crnovrsanin, Kwan-Liu Ma
University of California, Davis, United States
Concise provenance of interactive network analysis
Takanori Fujiwara, Tarik Crnovrsanin, Kwan-Liu Ma
University of California, Davis, United States
 全文: PDF 
摘要： 许多应用领域，如社会学、生物学、软件工程等，都涉及大型复杂网络。对这样的网络进行分析绝非一件简单的事，因为它通常需要多次交互才能得出结果。因此，对分析师来说，分析过程和分析得到的结果同样重要，值得保存和共享。而抓住和总结分析中的重要步骤是有益的。对整个分析过程- “分析中的所有的变化和进展的轨迹” – 进行可视化将为回顾、再现、重用和共享分析过程和结果提供有效支持。然而，对大型复杂网络进行分析的轨迹往往是一份很长的交互记录。在这篇论文中，为了自动撰写一份简明的网络分析轨迹的可视化摘要，我们引入了一个排位模型和一个约简算法。该模型可以识别网络分析中采用的重要交互并加以排序。基于这个模型，我们的算法能够最小化分析过程，同时仍然保留了回顾、重用、再现和共享分析过程和结果的所有重要步骤。我们采用上述模型和算法创建了一个原型系统，通过两种应用情景展示设计的有效性。 

关键词： 交互可视化;  网络数据;  分析过程;  可视化分析     
Abstract: Large, complex networks are commonly found in many application domains, such as sociology, biology, and software engineering. Analyzing such networks can be a non-trivial task, as it often takes many interactions to derive a finding. It is thus beneficial to capture and summarize the important steps in an analysis. This provenance would then effectively support recalling, reusing, reproducing, and sharing the analysis process and results. However, the provenance of analyzing a large, complex network would often be a long interaction record. To automatically compose a concise visual summarization of network analysis provenance, we introduce a ranking model together with a reduction algorithm. The model identifies and orders important interactions used in the network analysis. Based on this model, our algorithm is able to minimize the provenance, while still preserving all the essential steps for recalling and sharing the analysis process and results. We create a prototype system demonstrating the effectiveness of our model and algorithm with two usage scenarios.
Key words: Interactive visualization    Network data    Provenance    Visual analytics
出版日期: 2019-01-10
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Takanori Fujiwara
Tarik Crnovrsanin
Kwan-Liu Ma

引用本文:

Takanori Fujiwara, Tarik Crnovrsanin, Kwan-Liu Ma. Concise provenance of interactive network analysis . Vis Inf, 2018, 2(4): 213-224.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2018.12.002    或    http://www.zjujournals.com/vi/CN/Y2018/V2/I4/213

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