Abstract
The advent of consumer-generated and social media has led to a continuous expansion and diversification of the media landscape. Media consumers frequently find themselves assuming the role of media analysts in order to satisfy personal information needs. We propose to employ Knowledge Visualization methods in support of complex media analysis tasks. In this paper, we describe an approach which depicts semantic relationships between key political actors using node-link diagrams. Our contribution comprises a force-directed edge bundling algorithm which accounts for semantic properties of edges, a technical evaluation of the algorithm and a report on a real-world application of the approach. The resulting visualization fosters the identification of high-level edge patterns which indicate strong semantic relationships. It has been published by the Austrian Press Agency APA in 2009.
Original language | English |
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Title of host publication | 2010 14th International Conference Information Visualisation |
Subtitle of host publication | London, UK, 26-29 July 2010 |
Publisher | IEEE |
Pages | 375-380 |
Number of pages | 6 |
ISBN (Print) | 978-0-7695-4165-5, 978-1-4244-7846-0 |
DOIs | |
Publication status | Published - 2010 |
Event | 14th International Conference on Information Visualisation, IV 2010 - London, United Kingdom Duration: 26 Jul 2010 → 29 Jul 2010 Conference number: 14 |
Publication series
Name | International Conference on Information Visualisation |
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Publisher | IEEE |
Volume | 2010 |
ISSN (Print) | 1550-6037 |
ISSN (Electronic) | 2375-0138 |
Conference
Conference | 14th International Conference on Information Visualisation, IV 2010 |
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Abbreviated title | IV |
Country | United Kingdom |
City | London |
Period | 26/07/10 → 29/07/10 |
Keywords
- Edge bundling
- Knowledge visualization
- Layout quality evaluation
- Media analysis