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TITLE:
Size reduction of complex networks preserving modularity - imarina:5119271

URV's Author/s:Arenas Moreno, Alejandro / Duch Gavaldà, Jordi / Fernández Sabater, Alberto / Gómez Jiménez, Sergio
Author, as appears in the article.:Arenas A; Duch J; Fernández A; Gómez S
Author's mail:alexandre.arenas@urv.cat
jordi.duch@urv.cat
sergio.gomez@urv.cat
alberto.fernandez@urv.cat
Author identifier:0000-0003-0937-0334
0000-0003-2639-6333
0000-0003-1820-0062
0000-0002-1241-1646
Journal publication year:2007
Publication Type:Journal Publications
e-ISSN:1367-2630
APA:Arenas A; Duch J; Fernández A; Gómez S (2007). Size reduction of complex networks preserving modularity. New Journal Of Physics, 9(), -. DOI: 10.1088/1367-2630/9/6/176
Papper original source:New Journal Of Physics. 9
Abstract:The ubiquity of modular structure in real-world complex networks is the focus of attention in many trials to understand the interplay between network topology and functionality. The best approaches to the identification of modular structure are based on the optimization of a quality function known as modularity. However this optimization is a hard task provided that the computational complexity of the problem is in the non-deterministic polynomial time hard (NP-hard) class. Here we propose an exact method for reducing the size of weighted (directed and undirected) complex networks while maintaining their modularity. This size reduction allows use of heuristic algorithms that optimize modularity for a better exploration of the modularity landscape. We compare the modularity obtained in several real complex-networks by using the extremal optimization algorithm, before and after the size reduction, showing the improvement obtained. We speculate that the proposed analytical size reduction could be extended to an exact coarse graining of the network in the scope of real-space renormalization. © IOP Publishing Ltd and Deutsche Physikalische Gesellschaft.
Article's DOI:10.1088/1367-2630/9/6/176
Link to the original source:https://iopscience.iop.org/article/10.1088/1367-2630/9/6/176
Papper version:info:eu-repo/semantics/publishedVersion
licence for use:https://creativecommons.org/licenses/by/3.0/es/
Department:Enginyeria Informàtica i Matemàtiques
Licence document URL:https://repositori.urv.cat/ca/proteccio-de-dades/
Thematic Areas:Química
Psicología
Physics, multidisciplinary
Physics and astronomy (miscellaneous)
Physics and astronomy (all)
Medicina ii
Materiais
Matemática / probabilidade e estatística
Interdisciplinar
General physics and astronomy
Ensino
Engenharias iv
Engenharias iii
Engenharias i
Ciências biológicas i
Ciência da computação
Biotecnología
Astronomia / física
Entity:Universitat Rovira i Virgili
Record's date:2023-02-18
Journal volume:9
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