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- W2183336713 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." @default.
- W2183336713 created "2016-06-24" @default.
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- W2183336713 date "2012-12-21" @default.
- W2183336713 modified "2023-09-27" @default.
- W2183336713 title "Pixel-Oriented Network Visualization: Static Visualization of Change in Social Networks" @default.
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- W2183336713 doi "https://doi.org/10.1007/978-3-7091-1346-2_5" @default.
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