61525 20200221144341.0 doi 10.1016/j.ins.2016.01.063 sideral 94026 ART-2016-94026 eng (orcid)0000-0002-2726-6760 García-Magariño, I. Universidad de Zaragoza A hybrid approach with agent-based simulation and clustering for sociograms 2016 Access copy available to the general public Unrestricted In the last years, some features of sociograms have proven to be strongly related to the performance of groups. However, the prediction of sociograms according to the features of individuals is still an open issue. In particular, the current approach presents a hybrid approach between agent-based simulation and clustering for simulating sociograms according to the psychological features of their members. This approach performs the clustering extracting certain types of individuals regarding their psychological characteristics, from training data. New people can then be associated with one of the types in order to run a sociogram simulation. This approach has been implemented with the tool called CLUS-SOCI (an agent-based and CLUStering tool for simulating SOCIograms). The current approach has been experienced with real data from four different secondary schools, with 38 real sociograms involving 714 students. Two thirds of these data were used for training the tool, while the remaining third was used for validating it. In the validation data, the resulting simulated sociograms were similar to the real ones in terms of cohesion, coherence of reciprocal relations and intensity, according to the binomial test with the correction of Bonferroni. info:eu-repo/grantAgreement/ES/DGA/T81 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 4.832 2016 COMPUTER SCIENCE, INFORMATION SYSTEMS 7 / 146 = 0.048 2016 Q1 T1 1.78 2016 Artificial Intelligence 2016 Q1 Computer Science Applications 2016 Q1 Theoretical Computer Science 2016 Q1 Information Systems and Management 2016 Q1 Software 2016 Q1 Control and Systems Engineering 2016 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion (orcid)0000-0001-7671-7540 Medrano, C. Universidad de Zaragoza (orcid)0000-0003-3492-7544 Lombas, A.S. Universidad de Zaragoza (orcid)0000-0001-9320-1888 Barrasa, A. Universidad de Zaragoza 4009 740 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicología Social 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 4009 620 Universidad de Zaragoza Dpto. Psicología y Sociología Área Metod.Ciencias Comportam. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 345 (2016), 81-95 Inf. sci. Information Sciences 0020-0255 1477993 http://zaguan.unizar.es/record/61525/files/texto_completo.pdf Preprint 70131 http://zaguan.unizar.es/record/61525/files/texto_completo.jpg?subformat=icon icon Preprint oai:zaguan.unizar.es:61525 articulos driver 2020-02-21-13:50:25 ARTICLE