The team used a machine-learning algorithm to determine each person’s socio-economic status (SES), combining data such as the median income of people who live in the same region, the person’s age and sex and the value of their phone model as a proxy for individual income. The median household income was found to be close to $58,000. The researchers then split the individuals into two groups: those who were below the median SES and those who were above. If people made friends randomly, you would expect half of each person’s friends to be in each income group. But instead, for people below the median SES, only 38 per cent of their friends were above the median SES. Meanwhile, 70.6 per cent of the friends of people above the median SES were also a part of the same group.
Categories: Leben (Life aka misc)