Ontology highlight
ABSTRACT:
SUBMITTER: Zhao K
PROVIDER: S-EPMC3241622 | biostudies-literature | 2011
REPOSITORIES: biostudies-literature
PloS one 20111216 12
Human dynamical social networks encode information and are highly adaptive. To characterize the information encoded in the fast dynamics of social interactions, here we introduce the entropy of dynamical social networks. By analysing a large dataset of phone-call interactions we show evidence that the dynamical social network has an entropy that depends on the time of the day in a typical week-day. Moreover we show evidence for adaptability of human social behavior showing data on duration of ph ...[more]