Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/48640
Title: Quantifying Social Asymmetric Structures
Author: Solanas Pérez, Antonio
Salafranca i Cosialls, Lluís
Riba, Carles, 1949-
Sierra, Vicenta
Leiva Ureña, David
Keywords: Estadística
Psicologia social
Statistics
Social psychology
Issue Date: 1-Aug-2006
Publisher: Springer Verlag
Abstract: Many social phenomena involve a set of dyadic relations among agents whose actions may be dependent. Although individualistic approaches have frequently been applied to analyze social processes, these are not generally concerned with dyadic relations nor do they deal with dependency. This paper describes a mathematical procedure for analyzing dyadic interactions in a social system. The proposed method mainly consists of decomposing asymmetric data into their symmetrical and skew-symmetrical parts. A quantification of skew-symmetry for a social system can be obtained by dividing the norm of the skew-symmetrical matrix by the norm of the asymmetric matrix. This calculation makes available to researchers a quantity related to the amount of dyadic reciprocity. Regarding agents, the procedure enables researchers to identify those whose behavior is asymmetric with respect to all agents. It is also possible to derive symmetric measurements among agents and to use multivariate statistical techniques.
Note: Versió postprint del document publicat a: http://dx.odi.org/10.3758/BF03192792
It is part of: Behavior Research Methods, 2006, vol. 38, num. 3, p. 390-399
Related resource: http://dx.doi.org/10.3758/BF03192792
URI: http://hdl.handle.net/2445/48640
ISSN: 1554-351X
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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