Stéphane Plaszczynski, Gilberto Nakamura, Basile Grammaticos, Mathilde Badoual
EPJ Data Science (2024) 13:4
The analysis of social networks, in particular those describing face-to-face interactions
between individuals, is complex due to the intertwining of the topological and
temporal aspects. We revisit here both, using public data recorded by the
sociopatterns wearable sensors in some very different sociological environments,
putting particular emphasis on the contact duration timelines. As well known, the
distribution of the contact duration for all the interactions within a group is broad,
with tails that resemble each other, but not precisely, in different contexts. By
separating each interacting pair, we find that the fluctuations of the contact duration
around the mean-interaction time follow however a very similar pattern. This
common robust behavior is observed on 7 different datasets. It suggests that,
although the set of persons we interact with and the mean-time spent together,
depend strongly on the environment, our tendency to allocate more or less time than
usual with a given individual is invariant, i.e. governed by some rules that lie outside
the social context. Additional data reveal the same fluctuations in a baboon
population. This new metric, which we call the relation “contrast”, can be used to
build and test agent-based models, or as an input for describing long duration
contacts in epidemiological studies.
Editor : EPJ Data Science (2024) 13:4