Information diffusion, particularly information diffusion in social systems, is a form of communication inside and outside collective organisms or supra organisms. Information diffusion has an almost fluid like dynamic, particularly in very large systems or networks. Modeling information diffusion in biological and social systems has the power of revealing a fundamental property of living systems - how a system, subsystem or individual changes, adapts or selects its behavior and can be transformed into an an entirely new entity or phenomenon. Additionally, understanding information dynamics can help understand how systems and phenomena transform themselves and evolve. Information diffusion models can be incredibly simple (flows) or incredibly complex (swarming behavior, network propagation), depending on the nature of both the system and the information.
This is a famous model of feromone traceability in eusocial insects (ants 🐜 ). The model shows how behavioral paths emerge at the collective, macro level, from very simple individual interactions of each ant following the information with respect to where to find food (represented by circles) once the source of food was discovered and this information transmitted.
This is a cellular atomaton (CA) representation in an agent-based modeling environment. In this environment, all CA rules can be explored and studied, particularly with respect to non-stationary and non-equilibrium phenomena.
"Only variables remain constant." (SELF-ANNIHILATING SENTENCES - Saul Gorn's Compendium Of Rarely Used Cliches, 1985)