Visual Exploration of Relationships between Document Clusters

Ilir Jusufi, Andreas Kerren, Jiayi Liu, Björn Zimmer

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

3 Citations (Scopus)


The visualization of networks with additional attributes attached to the network elements is one of the ongoing challenges in the information visualization domain. Such so-called multivariate networks regularly appear in various application fields, for instance, in data sets which describe friendship networks or co-authorship networks. Here, we focus on networks that are based on text documents, i.e., the network nodes represent documents and the edges show relationships between them. Those relationships can be derived from common topics or common co-authors. Attached attributes may be specific keywords (topics), keyword frequencies, etc. The analysis of such multivariate networks is challenging, because a deeper understanding of the data provided depends on effective visualization and interaction techniques that are able to bring all types of information together. In addition, automatic analysis methods should be used to support the analysis process of potentially large amounts of data. In this paper, we present a visualization approach that tackles those analysis problems. Our implementation provides a combination of new techniques that shows intra-cluster and inter-cluster relations while giving insight into the content of the cluster attributes. Hence, it facilitates the interactive exploration of the networks under consideration by showing the relationships between node clusters in context of network topology and multivariate attributes.
Original languageEnglish
Title of host publicationIVAPP 2014 - Proceedings of the 5th International Conference on Information Visualization Theory and Applications
Number of pages9
ISBN (Print)9789897580055
Publication statusPublished - 2014
EventIVAPP 2014 - Lisbon, Portugal
Duration: 5 Jan 20148 Jan 2014

Publication series

NameIVAPP 2014 - Proceedings of the 5th International Conference on Information Visualization Theory and Applications


ConferenceIVAPP 2014
Internet address


  • Clustering
  • Document visualization
  • Interaction
  • Multivariate data
  • Network visualization
  • Text visualization
  • Visual analytics


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