Binding social and semantic networks

Social and semantic networks have often been studied separately. We provide a theoretical framework to bind these two networks, suggesting that the analysis of knowledge community structure and underlying agent-based dynamics requires to take into account the reciprocal in-fluence of both networks. We show how to characterize meaningful cultural communities using Galois lattices and briefly explain how models could render the coevolution of socio-semantic net-works, building upon a generalized understanding of preferential attachment. This should enable the comprehension of stylized facts proper to knowledge networks, in particular how social and semantic structures jointly affect each other