An Asymmetric Popularity-Similarity Optimization Method for Embedding Directed Networks into Hyperbolic Space

Figure 5

The result of mapping the C elegans neural network in hyperbolic space. (a, b) The relationships among the hyperbolic distance, the angular distance, and the spatial distance. The abscissa indicates the distance between the nodes, and the ordinate is the statistic for the number of distances. (c) The value of according to the starting point of different partitions, which is used to find the optimal disc partitioning result of . The blue and pink lines represent the results of , which are calculated from the angular distance and the hyperbolic distance, respectively.

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