Fundamental, Quantitative Traits of the “Sociotype”

Marijuán, P.C. ; del Moral, R. ; Ji, S. ; Gil Lacruz, M. (Universidad de Zaragoza) ; Gómez-Quintero, J.D. (Universidad de Zaragoza) ; Navarro, J. (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1016/j.biosystems.2019.02.007

Año: 2019

Publicado en: BioSystems 180 (2019), 79-87
ISSN: 0303-2647

Factor impacto JCR: 1.808 (2019)

Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 30 / 59 = 0.508 (2019) - Q3 - T2
Categ. JCR: BIOLOGY rank: 55 / 93 = 0.591 (2019) - Q3 - T2

Factor impacto SCIMAGO: 0.515 - Applied Mathematics (Q2) - Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q2) - Medicine (miscellaneous) (Q2) - Modeling and Simulation (Q2) - Statistics and Probability (Q3)

Financiación: info:eu-repo/grantAgreement/ES/FEDER/Una manera de hacer Europa
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/PI12-01480
Financiación: info:eu-repo/grantAgreement/ES/MINECO/CSO2017-82110-R

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Psicología Social (Dpto. Psicología y Sociología)
Área (Departamento): Área Métodos Cuant.Econ.Empres (Dpto. Estruc.Hª Econ.y Eco.Pb.)
Área (Departamento): Área Trabajo Social y Serv.Soc (Dpto. Psicología y Sociología)