Visual analytics for inspecting the evolution of a graph over time: Pattern discovery in a communication network
We present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information incl...
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| Veröffentlicht in: | 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) S. 169 - 170 |
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| Sprache: | Englisch |
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01.10.2015
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| Abstract | We present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information included the location from which a message was sent in the fictional amusement park. In the first approach, we present the data preprocessing pipeline we used for a custom visualization. In the second approach, we present how we used available data preprocessing and visualization software to get a quick and clear overview of the problem, and how we used the generated findings to feed our custom visualizations. |
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| AbstractList | We present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2 (MC2), featuring a dataset with records of timestamps as well as identification of sender and receiver of text messages. Further information included the location from which a message was sent in the fictional amusement park. In the first approach, we present the data preprocessing pipeline we used for a custom visualization. In the second approach, we present how we used available data preprocessing and visualization software to get a quick and clear overview of the problem, and how we used the generated findings to feed our custom visualizations. |
| Author | Schneider, Bruno Fischer, Fabian Buchmuller, Juri Keim, Daniel A. Acevedo, Carmela |
| Author_xml | – sequence: 1 givenname: Bruno surname: Schneider fullname: Schneider, Bruno organization: Data Analysis and Visualization Group, University of Konstanz, Germany – sequence: 2 givenname: Carmela surname: Acevedo fullname: Acevedo, Carmela organization: Data Analysis and Visualization Group, University of Konstanz, Germany – sequence: 3 givenname: Juri surname: Buchmuller fullname: Buchmuller, Juri organization: Data Analysis and Visualization Group, University of Konstanz, Germany – sequence: 4 givenname: Fabian surname: Fischer fullname: Fischer, Fabian organization: Data Analysis and Visualization Group, University of Konstanz, Germany – sequence: 5 givenname: Daniel A. surname: Keim fullname: Keim, Daniel A. organization: Data Analysis and Visualization Group, University of Konstanz, Germany |
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| Snippet | We present two approaches developed to visually analyze and find patterns in a communication network. The work was done for the VAST 2015 Mini-Challenge 2... |
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| SubjectTerms | Communication networks Data visualization Feature extraction H.2.8 [Database Management]: Database Applications-Data mining H.5.2 [Information Interfaces]: User Interfaces-Graphical user interfaces (GUI) Principal component analysis Receivers Visual analytics |
| Title | Visual analytics for inspecting the evolution of a graph over time: Pattern discovery in a communication network |
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