title: Correlated dynamics in egocentric communication networks.
abstract: We investigate the communication sequences of millions of people through two different channels and analyse the fine grained temporal structure of correlated event trains induced by single individuals. By focusing on correlations between the heterogeneous dynamics and the topology of egocentric networks we find that the bursty trains usually evolve for pairs of individuals rather than for the ego and his/her several neighbours, thus burstiness is a property of the links rather than of the nodes. We compare the directional balance of calls and short messages within bursty trains to the average on the actual link and show that for the trains of voice calls the imbalance is significantly enhanced, while for short messages the balance within the trains increases. These effects can be partly traced back to the technological constraints (for short messages) and partly to the human behavioural features (voice calls). We define a model that is able to reproduce the empirical results and may help us to understand better the mechanisms driving technology mediated human communication dynamics.
authors.affiliation: BECS, Aalto University School of Science, Espoo, Finland. marton.karsai@aalto.fi
authors.forename: Márton
authors.initials: M
authors.lastname: Karsai
authors.forename: Kimmo
authors.initials: K
authors.lastname: Kaski
authors.forename: János
authors.initials: J
authors.lastname: Kertész
mesh_terms: D000465:Algorithms; D003142:Communication; D006801:Humans; D008962:Models, Theoretical