Complexity data based is used to analyze group congruency in controlled environments. The focal point is to understand how certain mental disorders can influence a group behavior.
En example of such computational representation is show on the Figure at right.
The complexity analysis rests upon environmental, behavioral, physiological multi-channel sensors, including a posteriori subjective inputs. The underlying principle is based on observation that inter-subject distances in multi-dimensional complexity space characterize an organization of Social Groups. For more detailed outline of the theory see, e.g., Publications.
For more infos and use of this diagnostic system, please, contact Cassiopée.
Structures of Social Groups (under development)
Social group organization based on a synthetic data model of self-similar behaviour.