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DC Field | Value | Language |
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dc.contributor.author | Bernardinis, VD | - |
dc.contributor.author | Fa, R | - |
dc.contributor.author | Carli, M | - |
dc.contributor.author | Nandi, AK | - |
dc.date.accessioned | 2014-12-15T10:50:07Z | - |
dc.date.available | 2014-11-10 | - |
dc.date.available | 2014-12-15T10:50:07Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European: 381- 385, (1-5 September 2014) | en_US |
dc.identifier.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6952095&tag=1 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9510 | - |
dc.description.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. | en_US |
dc.description.sponsorship | The National Institute for Health Research (NIHR) under its Programme Grants for Applied Research Programme (Grant Reference Number RP-PG-0310-1004). | en_US |
dc.format.extent | 381 - 385 | - |
dc.format.extent | 381 - 385 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | characterization | en_US |
dc.subject | Clustering | en_US |
dc.subject | Dual-layer | en_US |
dc.subject | Information | en_US |
dc.title | Dual-layer network representation exploiting information characterization | en_US |
dc.type | Conference Paper | en_US |
dc.relation.isPartOf | European Signal Processing Conference | - |
dc.relation.isPartOf | European Signal Processing Conference | - |
pubs.organisational-data | /Brunel | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
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Fulltext.pdf | 532.12 kB | Adobe PDF | View/Open |
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