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What are interaction graphs? 


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Interaction graphs are a representation of the dependencies between components in an automata network. They are digraphs that indicate which components depend on the inputs of other components. The interaction graph of an automata network is a key parameter in understanding its behavior. It has been shown that for automata networks with a large number of components or a large alphabet size, the interaction graph always contains a complete digraph . Additionally, it has been proven that the interaction graph can contain only dense digraphs with a minimum in-degree bounded as a function of the alphabet size . The structure of the interaction graph plays a crucial role in determining the dynamics of the automata network .

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Interaction graphs are a way to analyze and visualize eye movement data from interactive stimuli, such as web pages, in order to improve the layout and interaction concept.
The paper defines interaction graphs as a qualitative representation of the interactions among entities in a finite dynamical system (FDS), indicating which local functions depend on which variables.
Interaction graphs are used to represent the structure of quantum circuits. They are derived from the corresponding qubit interaction graphs and are used to analyze the success rate of executing circuits on a quantum device.
The paper defines interaction graphs as digraphs that represent the dependencies between components in an automata network.
The paper defines interaction graphs as directed graphs that represent the dependencies between components in an automata network.

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