  Online social networks are more and more studied. The links between users of
a social network are important and have to be well qualified in order to detect
communities and find influencers for example. In this paper, we present an
approach based on the theory of belief functions to estimate the degrees of
cognitive independence between users in a social network. We experiment the
proposed method on a large amount of data gathered from the Twitter social
network.
