Third, it only considers 2-node and 3-node graphlets and they follow easily from the adjacency matrix. It reduces computational complexity with respect to prior analyses that require counting higher-node graphlets. The application of the method to a set of five real networks demonstrates the ...
Taking GDP as an example, the distributions of GDP and the spatial inequality of property flood risk measured by SGI are approximately normal, with rugs shown in Fig. 5g. The Kendall rank correlation reaches 0.428, the Spearman rank correlation reaches 0.602, and the Pearson correlation coefficient...
Consider the following algorithm to check connectivity of a graph defined by its adjacency matrix. Does this algorithm work correctly for every undirected graph with n > 0 vertices? If you answer yes, Suppose a right triangle is placed in a plane as sho...
Maximum coverage functions aim to maximize the number of features that have a non-zero element in at least one selected example; there is no marginal benefit to observing a variable in two examples. If each variable is thought to be an item in a set, and the data are a binary matrix wh...