Constructing temporal networks with bursty activity patterns.

ABSTRACT: Human social interactions tend to vary in intensity over time, whether they are in person or online. Variable rates of interaction in structured populations can be described by networks with the time-varying activity of links and nodes. One of the key statistics to summarize temporal patterns is the inter-event time, namely the duration between successive pairwise interactions. Empirical studies have found inter-event time distributions that are heavy-tailed, for both physical and digital interactions. But it is difficult to construct theoretical models of time-varying activity on a network that reproduce the burstiness seen in empirical data. Here we develop a spanning-tree method to construct temporal networks and activity patterns with bursty behavior. Our method ensures any desired tar

SUBMITTER: Sheng A 

PROVIDER: S-EPMC10640578 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature