The scientists at Complexity Science Hub (CSH) were able to predict the group sizes of people in a computer game by utilizing the average number of friends each person has. They modeled the formation of social groups using an example from physics, specifically the self-organization of particles with
The scientists atwere able to predict the group sizes of people in a computer game by utilizing the average number of friends each person has. They modeled the formation of social groups using an example from physics, specifically the self-organization of particles with spin.
“Although multiple models have been studied, little is known about how homophily and stress avoidance affect the formation of human groups, and in particular the size distribution of them – whether there are many small groups or few large ones, for example,” explains Jan Korbel from CSH and first author of the study. By using two contemporary fields from physics, called self-assembly and spin glasses, scientists now shed new light on social group formation.
Motivated by this, the research group developed a simple model for homophilic humans that is based on the mechanisms of self-organization of particles with spin.This model was able to predict the distribution of group size in the multiplayer online game Pardus. “Normally you would need to know the structure of the network and how it is designed,” Korbel explains the results, “here we only need to know how many friends a player has on average”.
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