Centrality Estimation in Large Networks
| dc.contributor.author | Brandes, Ulrik | |
| dc.contributor.author | Pich, Christian | deu |
| dc.date.accessioned | 2011-03-24T15:59:57Z | deu |
| dc.date.available | 2011-03-24T15:59:57Z | deu |
| dc.date.issued | 2007 | deu |
| dc.description.abstract | Centrality indices are an essential concept in network analysis. For those based on shortest-path distances the computation is at least quadratic in the number of nodes, since it usually involves solving the single-source shortest-paths (SSSP) problem from every node. Therefore, exact computation is infeasible for many large networks of interest today. Centrality scores can be estimated, however, from a limited number of SSSP computations. We present results from an experimental study of the quality of such estimates under various selection strategies for the source vertices. | eng |
| dc.description.version | published | |
| dc.format.mimetype | application/pdf | deu |
| dc.identifier.citation | First publ. in: International Journal of Bifurcation and Chaos 17 (2007), 7, pp. 2303-2318 | deu |
| dc.identifier.doi | 10.1142/S0218127407018403 | |
| dc.identifier.ppn | 30211288X | deu |
| dc.identifier.uri | http://kops.uni-konstanz.de/handle/123456789/5772 | |
| dc.language.iso | eng | deu |
| dc.legacy.dateIssued | 2009 | deu |
| dc.rights | Attribution-NonCommercial-NoDerivs 2.0 Generic | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/2.0/ | |
| dc.subject.ddc | 004 | deu |
| dc.title | Centrality Estimation in Large Networks | eng |
| dc.type | JOURNAL_ARTICLE | deu |
| dspace.entity.type | Publication | |
| kops.citation.bibtex | @article{Brandes2007Centr-5772,
year={2007},
doi={10.1142/S0218127407018403},
title={Centrality Estimation in Large Networks},
number={7},
volume={17},
issn={0218-1274},
journal={International Journal of Bifurcation and Chaos},
pages={2303--2318},
author={Brandes, Ulrik and Pich, Christian}
} | |
| kops.citation.iso690 | BRANDES, Ulrik, Christian PICH, 2007. Centrality Estimation in Large Networks. In: International Journal of Bifurcation and Chaos. 2007, 17(7), pp. 2303-2318. ISSN 0218-1274. Available under: doi: 10.1142/S0218127407018403 | deu |
| kops.citation.iso690 | BRANDES, Ulrik, Christian PICH, 2007. Centrality Estimation in Large Networks. In: International Journal of Bifurcation and Chaos. 2007, 17(7), pp. 2303-2318. ISSN 0218-1274. Available under: doi: 10.1142/S0218127407018403 | eng |
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<dcterms:abstract xml:lang="eng">Centrality indices are an essential concept in network analysis. For those based on shortest-path distances the computation is at least quadratic in the number of nodes, since it usually involves solving the single-source shortest-paths (SSSP) problem from every node. Therefore, exact computation is infeasible for many large networks of interest today. Centrality scores can be estimated, however, from a limited number of SSSP computations. We present results from an experimental study of the quality of such estimates under various selection strategies for the source vertices.</dcterms:abstract>
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