• DocumentCode
    1559983
  • Title

    ThemeRiver: visualizing thematic changes in large document collections

  • Author

    Havre, Susan ; Hetzler, Elizabeth ; Whitney, Paul ; Nowell, Lucy

  • Author_Institution
    Battelle Pacific Northwest Div., Richland, WA, USA
  • Volume
    8
  • Issue
    1
  • fYear
    2002
  • Firstpage
    9
  • Lastpage
    20
  • Abstract
    The ThemeRiver visualization depicts thematic variations over time within a large collection of documents. The thematic changes are shown in the context of a time-line and corresponding external events. The focus on temporal thematic change within a context framework allows a user to discern patterns that suggest relationships or trends. For example, the sudden change of thematic strength following an external event may indicate a causal relationship. Such patterns are not readily accessible in other visualizations of the data. We use a river metaphor to convey several key notions. The document collection\´s time-line, selected thematic content and thematic strength are indicated by the river\´s directed flow, composition and changing width, respectively. The directed flow from left to right is interpreted as movement through time and the horizontal distance between two points on the river defines a time interval. At any point in time, the vertical distance, or width, of the river indicates the collective strength of the selected themes. Colored "currents" flowing within the river represent individual themes. A current\´s vertical width narrows or broadens to indicate decreases or increases in the strength of the individual theme
  • Keywords
    data visualisation; information analysis; ThemeRiver; causality; coloured currents; context framework; directed flow; external events; large document collections; pattern discernment; relationships; river composition; river metaphor; river width; selected thematic content; temporal change; thematic change visualization; thematic strength; thematic variations; time-line; trend analysis; Computer Society; Data visualization; Displays; Graphics; Humans; Information retrieval; Rivers; Self organizing feature maps; Wire;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/2945.981848
  • Filename
    981848