Network Theory and Applications

Catalog description

This course explores network models and their applications to organizational phenomena. By examining the structure of relations among actors, network approaches seek to explain variations in beliefs, behaviors, and outcomes. The beauty of network analysis is its underlying mathematical nature - network ideas and measures, in some cases, apply equally well at micro and macro levels of analysis. Therefore, we read and discuss articles both at the micro level (where the network actors are individuals within organizations) and at the macro level (where the network actors are organizations within larger communities) that utilize antecedents or consequences of network constructs such as small worlds, cohesion, structural equivalence, centrality, and autonomy. We begin by examining the classic problem of contagion of information and behaviors across networks, and follow by considering the various underlying models of network structure that might underlie contagion and other processes The next two sessions address a variety of mechanisms by which an actor's position in a network affects its behavior or performance. Then, the following two sessions address antecedents of network ties via the topics of network evolution and network activation. We close with a "grab bag" session of articles chosen to match class interests.