Coupled cell systems can be seen as dynamical systems formed by interacting smaller dynamicals systems and are used to model in science a huge type of real world applications. The dynamics of such type of dynamical systems is determined in some aspects by the underlying coupling structure. Notably, we can see robust dynamical features occurring in coupled cell systems that are suprising, in case one was forgetting that they are not just dynamical systems, but they are coupled cell systems. When studying different problems in this field, many techniques can pop up to be useful, from the areas of Linear Algebra, Graph Theory, Geometry, Number Theory, Analysis, and so on. Citing part of page 3 of the book by Golubistky and Stewart, Dynamics and Bifurcations in Networks, published by SIAM, on 2023, "One reason for studying networks of coupled dynamical systems is simple: they are fascinating. [...], they reveal new mathematical phenomena, inspire new techniques, and pose new questions." An example of all that is the paper by Dias and Stewart (Linear Equivalence and ODE-equivalence for Coupled Cell Networks. Nonlinearity 18 (2005) (3) 1003–1020) where it is shown that two networks are ODE-equivalent if and only if they determine the same space of linear vector fields; moreover, the variable associated with each node may be assumed one-dimensional for that purpose. That is, choosing different networks for one real world application may not result mathematically in different types of behaviour in case the linear coupling interaction structures are basically mathematically the same.