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Title: Dual-layer network representation exploiting information characterization
Authors: Bernardinis, VD
Fa, R
Carli, M
Nandi, AK
Keywords: characterization;Clustering;Dual-layer;Information
Issue Date: 2014
Publisher: IEEE
Citation: Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European: 381- 385, (1-5 September 2014)
Abstract: In this paper, a logical dual-layer representation approach is proposed to facilitate the analysis of directed and weighted complex networks. Unlike the single logical layer structure, which was widely used for the directed and weighted flow graph, the proposed approach replaces the single layer with a dual-layer structure, which introduces a provider layer and a requester layer. The new structure provides the characterization of the nodes by the information, which they provide to and they request from the network. Its features are explained and its implementation and visualization are also detailed. We also design two clustering methods with different strategies respectively, which provide the analysis from different points of view. The effectiveness of the proposed approach is demonstrated using a simplified example. By comparing the graph layout with the conventional directed graph, the new dual-layer representation reveals deeper insight into the complex networks and provides more opportunities for versatile clustering analysis.
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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