This paper uses a database on scientific interaction in the field of the economics of technological change and innovation. The database is used to address two issues. First, the network is shown to be (approximately) scale-free. This suggests that growth of the number of scholars active in the field and so-called preferential attachment (i.e., scholars entering the field prefer to attach themselves to highly reputable existing members of the network) are characteristic of the nature of the underlying field. Thus, increasing returns seem to govern mechanisms of reputation formation. Second, the potential existence of cohesive subgroups of relatively strongly connected scholars is explored, and the implications of this for the paradigmatic structure of the field are discussed.