Some biological systems consist of layers of two dimensional networksdepending on the network, these layers could themselves be highly ordered (made up of single repeating geometric units, said by to be hexagons) or highly disordered as shown in microscope images from and . To avoid the computational complexity of considering the position of every atom, it can be a powerful approach is to simplify the biological network with a graph theory approach, treating molecules as edges and their interaction sites as nodes. The use of graph theory opens up an avenue to analyse the mid-range structure of 2D networks, an approach that has seen great success when used by Le to analyse inorganic 2D networks such as glasses or by Ormrod to study amorphous graphene.