Visual Analysis of Dynamic Networks using Change Centrality

P. Federico, J. Pfeffer, W. Aigner, S. Miksch, L. Zenk:
"Visual Analysis of Dynamic Networks using Change Centrality";
Vortrag: The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey; 26.08.2012 - 29.08.2012; in:"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining (ASONAM)", IEEE, (2012), ISBN: 978-1-4673-2497-7; S. 179 - 183.

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Abstract:


The visualization and analysis of dynamic social
networks are challenging problems, demanding the simultaneous
consideration of relational and temporal aspects. In order to
follow the evolution of a network over time, we need to detect not
only which nodes and which links change and when these changes
occur, but also the impact they have on their neighbourhood
and on the overall relational structure. Aiming to enhance the
perception of structural changes at both the micro and the macro
level, we introduce the change centrality metric. This novel metric,
as well as a set of further metrics we derive from it, enable the
pairwise comparison of subsequent states of an evolving network
in a discrete-time domain. Demonstrating their exploitation to
enrich visualizations, we show how these change metrics support
the visual analysis of network dynamics.