Given these global observations of correlated motions, we now employ the graph theory and network analysis to further characterize SERCA behavior. The constructed graphs for each of the simulations have 996 nodes, including the nucleotide and magnesium ion, or 995 nodes for the apo simulation case without a bound nucleotide. A shortest distance pathfinding algorithm was then utilized to find the pathways of communication between the nucleotide and calcium binding coordinating residues in the transmembrane helices. The definition of the adjacency matrix used to construct prioritizes both nearby residues as well as high degrees of correlation, leading to a smaller network weight between nodes.