International Journal of Knowledge Society Research, 1(1), 1-11, January-March 2010 1 Copyright © 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Keywords: Innovation, Quantum Physics, Social Dynamics, Social Networks, Social Science InTroduCTIon In recent years new organizational forms are emerging in response to new environmental forces that call for new organizational and mana- gerial capabilities. Organizational communities, interdisciplinary teams and industry consortia are becoming the governance model suitable to build a sustainable competitive advantage, representing a viable adaptation to an unstable environment. The theoretical framework used in this research is known as complexity science (Clippinger, 1999; Newman, 2003). According to this approach, teams are considered complex adaptive systems (CAS): they co-evolve with the environment because of the self-organizing behavior of the agents determining fitness land- scape of market opportunities and competitive dynamics (Lewin, 1999). A system is complex when equations that describe its progress over time cannot be solved analytically (Pavard & Dugdale, 2000). Understanding complex sys- Quantum Modeling of Social dynamics C. Bisconti, University of Salento, Italy A. Corallo, B. University of Salento, Italy M. De Maggio, University of Salento, Italy F. Grippa, University of Salento, Italy S. Totaro, University of Salento, Italy abSTraCT In this paper, the authors apply models extracted from the Many-Body Quantum Mechanics to understand how knowledge production is correlated to the innovation potential of a work team. This study is grounded in key assumtpions. First, complexity theory applied to social science suggests that it is of paramount importance to consider elements of non-objectivity and non-determinism in the statistical description of socio-economic phenomena. Second, a typical factor of indeterminacy in the explanation of these phenomena lead to the need to apply the instruments of quantum physics to formally describe social behaviours. In order to experiment the validity of the proposed mathematic model, the research intends to: 1) model nodes and interactions; 2) simulate the network behaviour starting from specifc defned models; 3) visualize the macroscopic results emerging during the analysis/simulation phases through a digital representation of the social network. DOI: 10.4018/jksr.2010010101