Visual analytics of static and dynamic networks taking into account uncertainty and fuzzy clustering

考虑不确定性和模糊聚类的静态和动态网络的可视化分析

• 批准号: 259253876
• 负责人: Professor Dr. Daniel Weiskopf
• 金额: --
• 依托单位: Abteilung Visualisierung
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2014
• 资助国家: 德国
• 起止时间: 2013-12-31 至 2017-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/259253876?language=en
• 关键词: Visual; analytics; static; dynamic; networks

This research project aims to develop and improve approaches to visual analytics of networks (graphs). The focal point are research questions related to the visualization of uncertainty in networks. Here, open visualization problems related to the clustering and comparison of networks will be addressed. We will consider both uncertainty in graph attributes and fuzziness in the community structures. Besides uncertainty visualization for individual graphs, we will investigate how uncertainty and fuzziness affect the visual comparison of two graphs and how they can be integrated into the visual analytics process. In this context, visual analytics of dynamic graphs will be addressed as well. The basic research questions of visual analytics of graphs will be complemented by the practical application to biological networks.

该研究项目旨在开发和改善网络视觉分析的方法（图）。重点是与网络不确定性可视化有关的研究问题。在这里，将解决与网络的聚类和比较有关的开放可视化问题。我们将考虑社区结构中图形属性的不确定性和模糊性。除了单个图的不确定性可视化外，我们还将研究不确定性和模糊性如何影响两个图的视觉比较，以及如何将它们集成到视觉分析过程中。在这种情况下，也将解决动态图的视觉分析。图表视觉分析的基础研究问题将由生物网络的实际应用来补充。

项目成果

The Dynamic Call Graph Matrix

动态调用图矩阵

• DOI: 10.1145/2968220.2968226
• 发表时间: 2016
• 期刊: Proceedings of the 9th International Symposium on Visual Information Communication and Interaction
• 作者: M. Burch

A Visual Analytics Approach for Word Relevances in Multiple Texts

• DOI: 10.1109/iv.2017.62
• 发表时间: 2017-01-01
• 期刊: 2017 21ST INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV)
• 作者: Rodrigues, Nils;Burch, Michael;Weiskopf, Daniel
• 通讯作者: Weiskopf, Daniel

Visualizing a Sequence of a Thousand Graphs (or Even More)

• DOI: 10.1111/cgf.13185
• 发表时间: 2017-06-01
• 期刊: COMPUTER GRAPHICS FORUM
• 影响因子: 2.5
• 作者: Burch, M.;Hlawatsch, M.;Weiskopf, D.
• 通讯作者: Weiskopf, D.

Visualization of time series data with spatial context: communicating the energy production of power plants

• DOI: 10.1145/3105971.3105982
• 发表时间: 2017-08
• 期刊: Proceedings of the 10th International Symposium on Visual Information Communication and Interaction
• 作者: Nils Rodrigues;Rudolf Netzel;Kazi Riaz Ullah;Michael Burch;Alexander Schultz;B. Burger;D. Weiskopf

Visual analytics of large dynamic digraphs

• DOI: 10.1177/1473871616661194
• 发表时间: 2017-07
• 期刊: Information Visualization
• 影响因子: 2.3
• 作者: Michael Burch