Quantifying gender preferences in human social interactions using a large cellphone dataset

Quantifying gender preferences in human social interactions using a large cellphone dataset

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 th...

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Bibliographic Details
Main Authors: Asim Ghosh, Daniel Monsivais, Kunal Bhattacharya, Robin I. M. Dunbar, Kimmo Kaski
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:EPJ Data Science
Subjects:
Social networks
Egocentric networks
Mobile phones
Life history
Gender differences
Sex differences
Online Access:http://link.springer.com/article/10.1140/epjds/s13688-019-0185-9

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http://link.springer.com/article/10.1140/epjds/s13688-019-0185-9

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