Quantifying gender preferences across humans lifespan
Asim Ghosh, Daniel Monsivais, Kunal Bhattacharya, Robin I. M. Dunbar, and Kimmo Kaski

TL;DR
This study analyzes mobile phone communication data to understand how gender and age influence social interaction patterns, revealing age-dependent preferences, opposite-sex bonding during reproductive years, and generational calling trends.
Contribution
It provides a comprehensive analysis of gender and age effects on human social interactions using large-scale mobile phone data, highlighting new patterns like grandmothering and downward affection flows.
Findings
Strong age dependence in calling preferences.
Opposite sex bonding peaks during reproductive age.
Older women tend to call younger females, suggesting grandmothering.
Abstract
In human relations individuals' gender and age play a key role in the structures and dynamics of their social arrangements. In order to analyze the gender preferences of individuals in interaction with others at different stages of their lives we study a large mobile phone dataset. To do this we consider four fundamental gender-related caller and callee combinations of human interactions, namely male to male, male to female, female to male, and female to female, which together with age, kinship, and different levels of friendship give rise to a wide scope of human sociality. Here we analyse the relative strength of these four types of interaction using a large dataset of mobile phone communication records. Our analysis suggests strong age dependence for an ego of one gender choosing to call an individual of either gender. We observe a strong opposite sex bonding across most of their…
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Taxonomy
TopicsOpinion Dynamics and Social Influence
