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...

Полное описание

Библиографические подробности

Главные авторы:	Asim Ghosh, Daniel Monsivais, Kunal Bhattacharya, Robin I. M. Dunbar, Kimmo Kaski
Формат:	Artigo
Язык:	Inglês
Опубликовано:	SpringerOpen 2019-03-01
Серии:	EPJ Data Science
Предметы:	Social networks Egocentric networks Mobile phones Life history Gender differences Sex differences
Online-ссылка:	http://link.springer.com/article/10.1140/epjds/s13688-019-0185-9
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!