Pixel-Oriented Network Visualization: Static Visualization of Change in Social Networks






Professorship/Faculty: Cultural Informatics  
Author(s): Stein, Klaus  ; Wegener, René; Schlieder, Christoph  
Title of the compilation: The Influence of Technology on Social Network Analysis and Mining
Editors: Özyer, Tansel; Rokne, Jon; Wagner, Gerhard; Reuser, Arno H.P.
Publisher Information: Wien : Springer
Year of publication: 2013
Pages: 101-127 ; Illustrationen, Diagramme
ISBN: 978-3-7091-1345-5
978-3-7091-1346-2
Language(s): English
DOI: 10.1007/978-3-7091-1346-2_5
URL: http://link.springer.com/chapter/10.1007/978-3-...
Abstract: 
Most common network visualizations rely on graph drawing. While without doubt useful, graphs suffer from limitations like cluttering and important patterns may not be realized especially when networks change over time. We propose a novel approach for the visualization of user interactions in social networks: a pixel-oriented visualization of a graphical network matrix where activity timelines are folded to inner glyphs within each matrix cell. Users are ordered by similarity which allows to uncover interesting patterns. The visualization is exemplified using social networks based on corporate wikis.
Document Type: Contribution to an Articlecollection
URI: https://fis.uni-bamberg.de/handle/uniba/2150
Year of publication: 26. September 2013