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standard / ## Figure 1 .
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).
Clark |