87689 20230111103821.0 doi 10.1016/j.biosystems.2019.02.007 sideral 111436 ART-2019-111436 eng Marijuán, P.C. Fundamental, Quantitative Traits of the “Sociotype” 2019 Access copy available to the general public Unrestricted In whatever domain of life, from cells to organisms to societies, communicative exchanges underlie the formation and maintenance, and decay, of the emerging collective structures. It can be clearly seen in the human social world. The different classes of social bonds in a complex society revolve around, and are intimately related with, the communicative relationships that every individual entertains—essentially via face-to-face conversation. In the present work we have investigated the fundamental metrics of both social bonds and communicative exchanges along the development of the “sociotype” construct. It is a new approach developed by the authors within the genotype-phenotype-sociotype conceptual triad. The sociotype means the relative constancy, or better the similar fabric, of the social world in which each individual life is developed. In order to ascertain the metrics of the fundamental quantitative traits inherent in the sociotype, a fieldwork involving a total of 1475 individuals (68.59% female, and 49.79 mean age, SD = 21.47) was carried out. The four relational realms of family, friends, work/study, and acquaintances were investigated. The overall results about conversation time (an average of 220 min/day), and about the number of social bonds (an average of 98), differ from previous assumptions, such as Dunbar's number or Killworth's number. Other results about gender, age, and use of social media and Internet contribute to highlight significant differences among the different social segments, and particularly the diminished “sociotype” of the elderly. Finally, it is curious that a non-Gaussian distribution has been obtained for the specific population allotment of these metrics, and intriguingly the Planckian distribution equation (PDE) appears to be a most cogent fit. info:eu-repo/grantAgreement/ES/FEDER/Una manera de hacer Europa info:eu-repo/grantAgreement/ES/ISCIII/PI12-01480 info:eu-repo/grantAgreement/ES/MINECO/CSO2017-82110-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 1.808 2019 MATHEMATICAL & COMPUTATIONAL BIOLOGY 30 / 59 = 0.508 2019 Q3 T2 BIOLOGY 55 / 93 = 0.591 2019 Q3 T2 0.515 2019 Applied Mathematics 2019 Q2 Biochemistry, Genetics and Molecular Biology (miscellaneous) 2019 Q2 Medicine (miscellaneous) 2019 Q2 Modeling and Simulation 2019 Q2 Statistics and Probability 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion del Moral, R. Ji, S. Gil Lacruz, M. Universidad de Zaragoza (orcid)0000-0001-8261-058X Gómez-Quintero, J.D. Universidad de Zaragoza (orcid)0000-0002-2036-7817 Navarro, J. Universidad de Zaragoza (orcid)0000-0001-6148-0667 4009 740 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicología Social 4008 623 Universidad de Zaragoza Dpto. Estruc.Hª Econ.y Eco.Pb. Área Métodos Cuant.Econ.Empres 4009 813 Universidad de Zaragoza Dpto. Psicología y Sociología Área Trabajo Social y Serv.Soc 180 (2019), 79-87 Biosystems BioSystems 0303-2647 502023 http://zaguan.unizar.es/record/87689/files/texto_completo.pdf Postprint 187196 http://zaguan.unizar.es/record/87689/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:87689 articulos driver 2023-01-11-10:05:32 ARTICLE