Social complexity is the study of nonlinear social processes through the use of models from complexity theory combined with computational methods
Sociocultural evolution describes the process of evolution as it acts on macro-scale social systems of all kind. Sociocultural evolution through a process of variation, selection, and duplication of social structures and cultural constructs leads over time to create complexity
A social adaptive landscape is a model to social systems that tries to map out the entire environment within which individuals, social groups or societies are interacting and adapting to each other's behavior as they try to find optimal solutions to a given social context.
Community structure refers to the local structures that form within social networks as some agents interact more frequently and intensely forming specific substructures within the overall network.
Social attractors define a specific subset of states that a social system may take, which corresponds to its normal behavior towards which it will naturally gravitate.
Social feedback loops describe a relationship within a social system where events feedback on themselves to create relationships of interdependence where different events work to balance each other or amplify each other.
This course is an accessible introduction to the application of complexity theory to the social sciences, the course will be primarily focused on the domain of sociology, but we will touch upon elements of psychology, anthropology, political science and economics.