Automated monitoring of behavior reveals bursty interaction patterns and rapid spreading dynamics in honeybee social networks.

ABSTRACT: Social networks mediate the spread of information and disease. The dynamics of spreading depends, among other factors, on the distribution of times between successive contacts in the network. Heavy-tailed (bursty) time distributions are characteristic of human communication networks, including face-to-face contacts and electronic communication via mobile phone calls, email, and internet communities. Burstiness has been cited as a possible cause for slow spreading in these networks relative to a randomized reference network. However, it is not known whether burstiness is an epiphenomenon of human-specific patterns of communication. Moreover, theory predicts that fast, bursty communication networks should also exist. Here, we present a high-throughput technology for automated monitoring of s

SUBMITTER: Gernat T 

PROVIDER: S-EPMC5816157 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature