Knowledge networks are important to understand learning in industry clusters but surprisingly little is known about what drives the formation, persistence and dissolution of ties. Applying stochastic actor-oriented models on longitudinal relational data from a mature cluster in a medium-tech...

This paper empirically explores relations between network positions in knowledge networks andtrust. In social network theory the closure argument and the gossip argument describe thisrelation. These two arguments do not distinguish between different dimensions of trust. In thispaper we estimate...

Small-world networks represent a decentralised network topology in which several actors are strongly connected with each other. A high clustering coefficient and a high number of short paths within a social network characterise such a network. Particularly in the context of inter-organisational...