Structure-based hierarchical transformations for interactive visual exploration of social networks

Authors:
Lisa Singh;Mitchell Beard;Brian Gopalan;Gregory Nelson
Affiliations:
Georgetown University, Washington, DC;Georgetown University, Washington, DC;Georgetown University, Washington, DC;Georgetown University, Washington, DC
Venue:
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Year:
2008

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Abstract

In this paper, we propose hierarchical transformations of traditional social networks based on structural expansion values of nodes in the network. The hierarchical visualization clusters or groups nodes with similar structural expansion values in the network. It is a complement to traditional network visualization and gives users the ability to quickly understand how structure is distributed throughout the network. After describing our approach, we analyze a real world social network, highlighting the benefit of a network structure-based hierarchical transformation for visual exploration of this network.