000126404 001__ 126404
000126404 005__ 20240731103325.0
000126404 0247_ $$2doi$$a10.1093/comnet/cnad012
000126404 0248_ $$2sideral$$a133926
000126404 037__ $$aART-2023-133926
000126404 041__ $$aeng
000126404 100__ $$0(orcid)0000-0002-8306-221X$$aBauza, F.J.$$uUniversidad de Zaragoza
000126404 245__ $$aTargeted Community Merging provides an efficient comparison between collaboration clusters and departmental partitions
000126404 260__ $$c2023
000126404 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126404 5203_ $$aCommunity detection theory is vital for the structural analysis of many types of complex networks, especially for human-like collaboration networks. In this work, we present a new community detection algorithm, the Targeted Community Merging algorithm, based on the well-known Girvan–Newman algorithm, which allows obtaining community partitions with high values of modularity and a small number of communities. We then perform an analysis and comparison between the departmental and community structure of scientific collaboration networks within the University of Zaragoza. Thus, we draw valuable conclusions from the inter- and intra-departmental collaboration structure that could be useful to take decisions on an eventual departmental restructuring.
000126404 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-113582GB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PGC2018-094684-B-C22$$9info:eu-repo/grantAgreement/ES/DGA/E36-20R$$9info:eu-repo/grantAgreement/ES/DGA/E30-20R
000126404 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000126404 590__ $$a2.2$$b2023
000126404 592__ $$a0.511$$b2023
000126404 591__ $$aMATHEMATICS, INTERDISCIPLINARY APPLICATIONS$$b39 / 135 = 0.289$$c2023$$dQ2$$eT1
000126404 593__ $$aApplied Mathematics$$c2023$$dQ2
000126404 593__ $$aComputational Mathematics$$c2023$$dQ2
000126404 593__ $$aComputer Networks and Communications$$c2023$$dQ2
000126404 593__ $$aControl and Optimization$$c2023$$dQ2
000126404 593__ $$aManagement Science and Operations Research$$c2023$$dQ3
000126404 594__ $$a4.2$$b2023
000126404 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126404 700__ $$0(orcid)0000-0002-0342-0225$$aRuiz-Manzanares, G.
000126404 700__ $$0(orcid)0000-0002-3484-6413$$aGómez-Gardeñes, J.$$uUniversidad de Zaragoza
000126404 700__ $$0(orcid)0000-0003-2772-3762$$aTarancón, A.$$uUniversidad de Zaragoza
000126404 700__ $$0(orcid)0000-0003-2916-5493$$aÍñiguez, D.
000126404 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000126404 7102_ $$12003$$2395$$aUniversidad de Zaragoza$$bDpto. Física Materia Condensa.$$cÁrea Física Materia Condensada
000126404 773__ $$g11, 2 (2023), cnad012 [17 pp.]$$pJ. complex. netw$$tJOURNAL OF COMPLEX NETWORKS$$x2051-1310
000126404 8564_ $$s2915977$$uhttps://zaguan.unizar.es/record/126404/files/texto_completo.pdf$$yVersión publicada
000126404 8564_ $$s1931915$$uhttps://zaguan.unizar.es/record/126404/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126404 909CO $$ooai:zaguan.unizar.es:126404$$particulos$$pdriver
000126404 951__ $$a2024-07-31-09:44:34
000126404 980__ $$aARTICLE