Detection of community structures in networks via global optimization
We present an analysis of communality structure in networks based on the application of simulated annealing techniques. In this case we use as "cost function" the already introduced modularity Q (1), which is based on the relative number of links within a commune against the number of link...
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todo:paper_03784371_v358_n2-4_p593_Medus2023-10-03T15:32:46Z Detection of community structures in networks via global optimization Medus, A. Acuña, G. Dorso, C.O. Betweenness Communality Networks Computer networks Costs Simulated annealing Telecommunication links Betweenness Communality Global optimization We present an analysis of communality structure in networks based on the application of simulated annealing techniques. In this case we use as "cost function" the already introduced modularity Q (1), which is based on the relative number of links within a commune against the number of links that would correspond in case the links were distributed randomly. We compare the results of our approach against other methodologies based on betweenness analysis and show that in all cases a better community structure can be attained. © 2005 Elsevier B.V. All rights reserved. Fil:Dorso, C.O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03784371_v358_n2-4_p593_Medus |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Betweenness Communality Networks Computer networks Costs Simulated annealing Telecommunication links Betweenness Communality Global optimization |
spellingShingle |
Betweenness Communality Networks Computer networks Costs Simulated annealing Telecommunication links Betweenness Communality Global optimization Medus, A. Acuña, G. Dorso, C.O. Detection of community structures in networks via global optimization |
topic_facet |
Betweenness Communality Networks Computer networks Costs Simulated annealing Telecommunication links Betweenness Communality Global optimization |
description |
We present an analysis of communality structure in networks based on the application of simulated annealing techniques. In this case we use as "cost function" the already introduced modularity Q (1), which is based on the relative number of links within a commune against the number of links that would correspond in case the links were distributed randomly. We compare the results of our approach against other methodologies based on betweenness analysis and show that in all cases a better community structure can be attained. © 2005 Elsevier B.V. All rights reserved. |
format |
JOUR |
author |
Medus, A. Acuña, G. Dorso, C.O. |
author_facet |
Medus, A. Acuña, G. Dorso, C.O. |
author_sort |
Medus, A. |
title |
Detection of community structures in networks via global optimization |
title_short |
Detection of community structures in networks via global optimization |
title_full |
Detection of community structures in networks via global optimization |
title_fullStr |
Detection of community structures in networks via global optimization |
title_full_unstemmed |
Detection of community structures in networks via global optimization |
title_sort |
detection of community structures in networks via global optimization |
url |
http://hdl.handle.net/20.500.12110/paper_03784371_v358_n2-4_p593_Medus |
work_keys_str_mv |
AT medusa detectionofcommunitystructuresinnetworksviaglobaloptimization AT acunag detectionofcommunitystructuresinnetworksviaglobaloptimization AT dorsoco detectionofcommunitystructuresinnetworksviaglobaloptimization |
_version_ |
1807323360761217024 |