Social Complexity is the study of nonlinear social processes through the use of models from complexity theory combined with computational methods. Social complexity theory is an alternative approach to more analytical methods, is based on a paradigm inherited from systems theory that is primarily concerned with synthetic reasoning. Complexity science represents an alternative approach to our traditional scientific framework. As such, it brings with it a coherent alternative paradigm, a new set of theoretical models based on that paradigm and a new set of computational methods. Some of the major modeling frameworks that form part of this paradigm including network theory, system dynamics, and nonlinear systems theory. Methodologically social complexity science is characterized by the used of computational tools such as agent-based modeling and network analysis.
Giorgio Bertini
Research Professor on society, culture, art, cognition, critical thinking, intelligence, creativity, neuroscience, autopoiesis, self-organization, complexity, systems, networks, rhizomes, leadership, sustainability, thinkers, futures ++
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