Show simple item record

dc.contributor.authorBrandes, U.en_US
dc.contributor.authorWillhalm, T.en_US
dc.contributor.editorD. Ebert and P. Brunet and I. Navazoen_US
dc.date.accessioned2014-01-30T06:50:42Z
dc.date.available2014-01-30T06:50:42Z
dc.date.issued2002en_US
dc.identifier.isbn1-58113-536-Xen_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/VisSym02/159-164en_US
dc.description.abstractWe describe a novel approach to visualize bibliographic networks that facilitates the simultaneous identification of clusters (e.g., topic areas) and prominent entities (e.g., surveys or landmark papers). While employing the landscape metaphor proposed in several earlier works, we introduce new means to determine relevant parameters of the landscape. Moreover, we are able to compute prominent entities, clustering of entities, and the landscape s surface in a surprisingly simple and uniform way. The effectiveness of our network visualizations is illustrated on data from the graph drawing literature.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleVisualization of Bibliographic Networks with a Reshaped Landscape Metaphoren_US
dc.description.seriesinformationEurographics / IEEE VGTC Symposium on Visualizationen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record