The Topology of a Family Tree Graph and Its Members' Satisfaction with One Another: A Machine Learning Approach

• URL: http://arxiv.org/abs/2305.01552v2
• Date: Mon, 17 Jun 2024 05:49:40 GMT
• Title: The Topology of a Family Tree Graph and Its Members' Satisfaction with One Another: A Machine Learning Approach
• Authors: Teddy Lazebnik, Amit Yaniv-Rosenfeld,
• Abstract summary: Family members' satisfaction with one another is central to creating healthy and supportive family environments. We show that the proposed technique brings about highly accurate results in predicting family members' satisfaction with one another based solely on the family graph's topology.
• Score: 0.6906005491572401
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Family members' satisfaction with one another is central to creating healthy and supportive family environments. In this work, we propose and implement a novel computational technique aimed at exploring the possible relationship between the topology of a given family tree graph and its members' satisfaction with one another. Through an extensive empirical evaluation ($N=486$ families), we show that the proposed technique brings about highly accurate results in predicting family members' satisfaction with one another based solely on the family graph's topology. Furthermore, the results indicate that our technique favorably compares to baseline regression models which rely on established features associated with family members' satisfaction with one another in prior literature.

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