Collaborative innovation networks represent adequate structures within which to foster members’ abilities to interact and cooperate in order to increase the level of knowledge and facilitate access to innovation. In this paper we consider two collaborative innovation network models, called orchestration and choreography and we compare them in terms of knowledge flow by means of a network centrality measure called Neighbours’ Information Patrimony, recently introduced to study the influence of the pattern of connections around a network member. We present empirical results on a wide set of simulations and we discuss outcomes and results to explain some behaviour in such innovation networks.