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A framework for studying the conceptual structure of human relationships
Ava Q Ma de Sousa1, Hongbo Yu1
1Department of Psychological and Brain Sciences, University of California Santa Barbara, Santa Barbara, CA 93106, USA.
Trends in Cognitive Sciences
|April 6, 2025
Summary
This study reveals a 5-dimensional framework for understanding human relationships across cultures. It identifies three core relationship categories using advanced data analysis and Large Language Models.
Area of Science:
- Cognitive Science
- Social Psychology
- Computational Linguistics
Background:
- Understanding the cognitive structures underlying human relationships is a fundamental challenge.
- Previous research has explored relationship dynamics but lacked a comprehensive, cross-cultural framework.
Purpose of the Study:
- To investigate how the human mind represents the structure of social relationships.
- To develop a robust, empirically validated framework for classifying relationship types.
Main Methods:
- Employed an interdisciplinary approach integrating principal component analysis (PCA) with large-scale, cross-cultural human ratings.
- Utilized Large Language Model (LLM)-based analyses on historical texts to complement empirical data.
Main Results:
- Identified a consistent 5-dimensional framework representing relationship structures.
- Discovered three fundamental categories that encompass diverse human relationships across cultures.
Conclusions:
- The findings provide a novel, data-driven model for the cognitive representation of social relationships.
- This framework offers a universal perspective on relationship structures, applicable across diverse cultural contexts.
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