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doi: 10.5061/dryad.j82k4
Age and gender are two important factors that play crucial roles in the way organisms allocate their social effort. In this study, we analyse a large mobile phone dataset to explore the way life history influences human sociality and the way social networks are structured. Our results indicate that these aspects of human behaviour are strongly related to age and gender such that younger individuals have more contacts and, among them, males more than females. However, the rate of decrease in the number of contacts with age differs between males and females, such that there is a reversal in the number of contacts around the late 30s. We suggest that this pattern can be attributed to the difference in reproductive investments that are made by the two sexes. We analyse the inequality in social investment patterns and suggest that the age- and gender-related differences we find reflect the constraints imposed by reproduction in a context where time (a form of social capital) is limited.
Egocentric_File_RSOSThe file Egocentric_File_RSOS.csv contains data corresponding to egocentric networks of 3,106,293 individuals derived from anonymized call detail records for a single month in the year 2007 from a mobile phone service provider in a European country.
life-history, social capital, data science, social investment
life-history, social capital, data science, social investment
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