Figure 1
From: Sets2Networks: network inference from repeated observations of sets
Example of inferring a network from synthetic data. (A) An arbitrary random graph serves as G u which can be represented by an adjacency matrix, shown in (B). The field C is generated synthetically by performing short random walks on the graph to identify locally connected subgraphs. Using only the information contained in C the ensemble G ens is algorithmically sampled, a few of the sampled graphs are shown in (C). An example of the mean adjacency matrix over G ens is shown in (D).