Werner, Roland. 2001. "Structure - Flow - Change: Computer Simulation of Social Systems as the 'Platform for Experimental Sociologytm'." Presented at the annual meeting of Sunbelt XXI: International Sunbelt Social Network Conference, April 26, Budapest, Hungary. Abstract When making models of social systems, students are usually compelled to learn a computer simulation language. That programming effort detracts a great deal from models such as Social Network and Innovation Diffusion simulations. The current presentation builds on the "General Systems Theory" of Ludwig von Bertalanffy. Much of this work is taken as the metaphor for social systems model making. The Mantra for this model making effort is: Structure - Flow - Change, from the "Tao of Physics" by Fritjof Capra. Taking these works together, the Structure is realized in the social system; Flow shows the direction of change, either constructive or destructive; and Change is realized through the dynamic nature of computer simulation with the State/ Process Dynamic Model (SPDMtm). Computer simulation is also seen as the platform for experiments with social systems; particularly the posttest-only control group design. Innovation Diffusion and specifically the Awareness Process is used as the empirical example to demonstrate the Platform for Experimental SociologyTM. It is found that awareness of an innovation rests on three information processes. Early in the awareness of an innovation, the media play an important role. Then after a few individuals in the community become aware, geographic proximity processes and social network proximity processes enter the dissemination of information about an innovation prior to its adoption. The model is extended beyond Awareness and Adoption to include a cyclical process involving Discontinuation and Readoption. Finally some comments are made about the implementation of this modeling methodology in JAVA.