Universal scaling laws of interaction time distribution in honeybee and human social networks

We report high-throughput automated measurements of trophallaxis and face-to-face event durations of honeybees. The distribution is heavy-tailed as in human face-to-face interactions. We derive the power-law form by viewing the termination of an interaction as a particle escaping over an energy barrier. The variability within the population is represented by the distribution of barrier heights determined by extreme value theory. We find a universal scaling law connecting the exponent in the interaction time distribution to that in the barrier height distribution, which is verified by both honeybee and human data. Although less prominent than in humans, individual differences in honeybee interactivity, which are usually overlooked, are confirmed. Our work shows how individual differences can lead to universal patterns of behavior that transcend species and specific mechanisms of social interactions.