Multiscale representations of community structures in attractor neural networks
Fig 4
Representations of LAM for a random graph with a hierarchical community structure.
(A) A structure of an example random graph (400 nodes) and three hierarchical levels of communities. (B) Pattern overlaps of attractors in LAM. (C) Pattern correlation matrices between attractors in LAM. (D) The explained variance ratio in linear regressions of pattern overlaps by various numbers of GL eigenvectors. The color indicates the value of α. (E) Average pattern correlations between attractor patterns of node pairs in each hierarchy. A level-h pair is in the same level-h community and not in the same level-(h+1) community if h<H.