Abstract
Complex social systems at various scales of analysis (e.g. dyads, families, tribes, etc.) are formed and maintained through verbal interactions. Therefore, the ability to (1) model these interactions and (2) to use models of interaction for identifying significant relations may be of interest to the social sciences. Adopting the perspective of social physics, we present a general approach for modeling interactions through relative entropy. For illustrating the benefits of the approach, we derive measures of “perspective-taking” and use them for identifying significant-romantic relations in a data set composed of the verbal interactions taken place at the famous TV series “Sex and the City”. Using these measures, we show that significant-romantic relations can be identified with success. These results provide preliminary support for the benefits of using the proposed approach.
Highlights
Complex social systems at various scales of analysis are formed and maintained through verbal interactions
It is extremely difficult to find a large data set of rich social-verbal interactions, which is accompanied by a clear criterion for tagging an interaction as “significant”
Modeling social processes through the perspective of physics is not a trivial task partially as both theoretical and methodological bridges must be constructed between the abstract ideas and the concrete measures
Summary
Complex social systems at various scales of analysis (e.g. dyads, families, tribes, etc.) are formed and maintained through verbal interactions. For illustrating the benefits of the approach, we derive measures of “perspective-taking” and use them for identifying significant-romantic relations in a data set composed of the verbal interactions taken place at the famous TV series “Sex and the City”. While there are some good reasons for this variety, it seems that it may be useful to use a general and physically motivated concept of interaction together with measures that are clearly derived from it Adopting such an approach, may be relevant for the task of identifying significant relations/interactions. Neuman et al.[3] describe non-additivity in a general conceptual sense as the nonlinear function associating the system’s granularity level of analysis and its components’ degrees of freedom The way this idea is relevant for modeling interactions is explained through the example. As gender differences have been documented for leisure activities (e.g.5–7), we may hypothesize that the interaction between the men and the women participating in the date imposes mutual constraints that result in a joint dating activity that can be characterized by leisure activities probably different from each of the parties’
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