SolarMap: Multifaceted visual analytics for topic exploration

Nan Cao, David Gotz, Jimeng Sun, Yu Ru Lin, Huamin Qu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Documents in rich text corpora often contain multiple facets of information. For example, an article from a medical document collection might consist of multifaceted information about symptoms, treatments, causes, diagnoses, prognoses, and preventions. Thus, documents in the collection may have different relations across each of these various facets. Topic analysis and exploration for such multi-relational corpora is a challenging visual analytic task. This paper presents SolarMap, a multifaceted visual analytic technique for visually exploring topics in multi-relational data. SolarMap simultaneously visualizes the topic distribution of the underlying entities from one facet together with keyword distributions that convey the semantic definition of each cluster along a secondary facet. SolarMap combines several visual techniques including 1) topic contour clusters and interactive multifaceted keyword topic rings, 2) a global layout optimization algorithm that aligns each topic cluster with its corresponding keywords, and 3) 2) an optimal temporal network segmentation and layout method that renders temporal evolution of clusters. Finally, the paper concludes with two case studies and quantitative user evaluation which show the power of the SolarMap technique.

Original languageEnglish (US)
Title of host publicationProceedings - 11th IEEE International Conference on Data Mining, ICDM 2011
Pages101-110
Number of pages10
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event11th IEEE International Conference on Data Mining, ICDM 2011 - Vancouver, BC, Canada
Duration: Dec 11 2011Dec 14 2011

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other11th IEEE International Conference on Data Mining, ICDM 2011
CountryCanada
CityVancouver, BC
Period12/11/1112/14/11

Keywords

  • Multifaceted information visualization
  • Temporal topic visualization
  • Visual analytics

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Cao, N., Gotz, D., Sun, J., Lin, Y. R., & Qu, H. (2011). SolarMap: Multifaceted visual analytics for topic exploration. In Proceedings - 11th IEEE International Conference on Data Mining, ICDM 2011 (pp. 101-110). [6137214] (Proceedings - IEEE International Conference on Data Mining, ICDM). https://doi.org/10.1109/ICDM.2011.135