From temporal network data to the dynamics of social relationships.

ABSTRACT: Networks are well-established representations of social systems, and temporal networks are widely used to study their dynamics. However, going from temporal network data (i.e. a stream of interactions between individuals) to a representation of the social group's evolution remains a challenge. Indeed, the temporal network at any specific time contains only the interactions taking place at that time and aggregating on successive time-windows also has important limitations. Here, we present a new framework to study the dynamic evolution of social networks based on the idea that social relationships are interdependent: as the time we can invest in social relationships is limited, reinforcing a relationship with someone is done at the expense of our relationships with others. We implement this

SUBMITTER: Gelardi V 

PROVIDER: S-EPMC8479335 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature