title: Contextual analysis framework for bursty dynamics.
abstract: To understand the origin of bursty dynamics in natural and social processes we provide a general analysis framework in which the temporal process is decomposed into subprocesses and then the bursts in subprocesses, called contextual bursts, are combined to collective bursts in the original process. For the combination of subprocesses, it is required to consider the distribution of different contexts over the original process. Based on minimal assumptions for interevent time statistics, we present a theoretical analysis for the relationship between contextual and collective interevent time distributions. Our analysis framework helps to exploit contextual information available in decomposable bursty dynamics.
authors.affiliation: Department of Biomedical Engineering and Computational Science, Aalto University School of Science, P. O. Box 12200, Espoo, Finland. hang-hyun.jo@aalto.fi
authors.forename: Hang-Hyun
authors.initials: HH
authors.lastname: Jo
authors.forename: Raj Kumar
authors.initials: RK
authors.lastname: Pan
authors.forename: Juan I
authors.initials: JI
authors.lastname: Perotti
authors.forename: Kimmo
authors.initials: K
authors.lastname: Kaski
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D009991:Oscillometry / Q000379:methods*; D012919:Social Behavior