Ontology highlight
ABSTRACT:
SUBMITTER: Zhang T
PROVIDER: S-EPMC4811539 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Zhang Tianyang T Cui Peng P Song Chaoming C Zhu Wenwu W Yang Shiqiang S
PloS one 20160329 3
Human activity plays a central role in understanding large-scale social dynamics. It is well documented that individual activity pattern follows bursty dynamics characterized by heavy-tailed interevent time distributions. Here we study a large-scale online chatting dataset consisting of 5,549,570 users, finding that individual activity pattern varies with timescales whereas existing models only approximate empirical observations within a limited timescale. We propose a novel approach that models ...[more]