Abstract
It is argued that a synthesis of network and complexity theories will help enhance the theoretical and methodological capabilities of understanding governance, policy, and public management networks. The similarities and differences of the two theories on stability and dynamism of social systems, self-organization, and uncertainty are identified. Potential contributions of the complexity concepts of nonlinearity and dissipative structures and agent-based simulation methods to studying networks are discussed.