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An application of edge bundling techniques to the visualization of media analysis results

  • Wolfgang Kienreich
  • , Christin Seifert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 languageEnglish
Title of host publication2010 14th International Conference Information Visualisation
Subtitle of host publicationLondon, UK, 26-29 July 2010
PublisherIEEE
Pages375-380
Number of pages6
ISBN (Print)978-0-7695-4165-5, 978-1-4244-7846-0
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event14th International Conference on Information Visualisation, IV 2010 - London, United Kingdom
Duration: 26 Jul 2010 → 29 Jul 2010
Conference number: 14

Publication series

NameInternational Conference on Information Visualisation
PublisherIEEE
Volume2010
ISSN (Print)1550-6037
ISSN (Electronic)2375-0138

Conference

Conference14th International Conference on Information Visualisation, IV 2010
Abbreviated titleIV
Country/TerritoryUnited Kingdom
CityLondon
Period26/07/10 → 29/07/10

Keywords

  • Edge bundling
  • Knowledge visualization
  • Layout quality evaluation
  • Media analysis

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