Collaborative innovation networks represent adequate structures withinwhich to foster members' abilities to interact and cooperate in order toincrease the level of knowledge and facilitate access to innovation. Inthis paper we consider two collaborative innovation network models,called orchestration and choreography and we compare them in terms ofknowledge flow by means of a network centrality measure calledNeighbours' Information Patrimony, recently introduced to study theinfluence of the pattern of connections around a network member. Wepresent empirical results on a wide set of simulations and we discussoutcomes and results to explain some behaviour in such innovationnetworks.
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