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.
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Singh, L., Beard, M., Gopalan, B., Nelson, G. (2008). Structure-Based Hierarchical Transformations for Interactive Visual Exploration of Social Networks. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2008. Lecture Notes in Computer Science(), vol 5012. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68125-0_107
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DOI: https://doi.org/10.1007/978-3-540-68125-0_107
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68124-3
Online ISBN: 978-3-540-68125-0
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