Community detection in networks

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The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the rest of the network. In this article, we introduce a new method for community d...

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Autores principales: Dorso, C.O., Medus, A.D.
Formato: JOUR
Materias:
Bottlenose dolphins network
Community structures
Complex networks
Zachary Karate club network
Dolphins (structures)
Population dynamics
Bottlenose dolphins
Community detection
Community IS
In networks
Merit factor
Tursiops
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_02181274_v20_n2_p361_Dorso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_02181274_v20_n2_p361_Dorso
record_format dspace
spelling todo:paper_02181274_v20_n2_p361_Dorso2023-10-03T15:10:44Z Community detection in networks Dorso, C.O. Medus, A.D. Bottlenose dolphins network Community structures Complex networks Zachary Karate club network Dolphins (structures) Population dynamics Bottlenose dolphins Community detection Community IS Community structures In networks Merit factor Complex networks Tursiops The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the rest of the network. In this article, we introduce a new method for community detection in complex networks. We define new merit factors based on the weak and strong community definitions formulated by Radicchi et al. [2004] and we show that this local definition properly describes the communities observed experimentally in two typical social networks. © 2010 World Scientific Publishing Company. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_02181274_v20_n2_p361_Dorso
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Bottlenose dolphins network
Community structures
Complex networks
Zachary Karate club network
Dolphins (structures)
Population dynamics
Bottlenose dolphins
Community detection
Community IS
Community structures
In networks
Merit factor
Complex networks
Tursiops
spellingShingle Bottlenose dolphins network
Community structures
Complex networks
Zachary Karate club network
Dolphins (structures)
Population dynamics
Bottlenose dolphins
Community detection
Community IS
Community structures
In networks
Merit factor
Complex networks
Tursiops
Dorso, C.O.
Medus, A.D.
Community detection in networks
topic_facet Bottlenose dolphins network
Community structures
Complex networks
Zachary Karate club network
Dolphins (structures)
Population dynamics
Bottlenose dolphins
Community detection
Community IS
Community structures
In networks
Merit factor
Complex networks
Tursiops
description The problem of community detection is relevant in many disciplines of science. A community is usually defined, in a qualitative way, as a subset of nodes of a network which are more connected among themselves than to the rest of the network. In this article, we introduce a new method for community detection in complex networks. We define new merit factors based on the weak and strong community definitions formulated by Radicchi et al. [2004] and we show that this local definition properly describes the communities observed experimentally in two typical social networks. © 2010 World Scientific Publishing Company.
format JOUR
author Dorso, C.O.
Medus, A.D.
author_facet Dorso, C.O.
Medus, A.D.
author_sort Dorso, C.O.
title Community detection in networks
title_short Community detection in networks
title_full Community detection in networks
title_fullStr Community detection in networks
title_full_unstemmed Community detection in networks
title_sort community detection in networks
url http://hdl.handle.net/20.500.12110/paper_02181274_v20_n2_p361_Dorso
work_keys_str_mv AT dorsoco communitydetectioninnetworks
AT medusad communitydetectioninnetworks
_version_ 1807315199269535744

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