  This work studies dynamics controlling the transition between different
microstates of two charge D1-D5 black holes by network methods, in which
microstates of the system are defined as network nodes, while transitions
between them are defined as edges. It is found that the eigenspectrum of this
network's Laplacian matrix, which is identified with Hamiltonians of the
microstate system, has completely the same Nearest-Neighbor Spacing
Distribution as that of general Gaussian Orthogonal Ensemble of Random
Matrices. According to the BGS, i.e. Bohigas, Giannoni and Schmit conjecture,
this forms evidence for chaotic features of the D1-D5 microstate dynamics. This
evidence is further strengthened by observations that inverse of the
first/minimal nonzero eigenvalue of the Laplacian matrix is proportional to
logarithms of the microstate number of the system. By Sekino and Susskind, this
means that dynamics of the D1-D5 black hole microstates are not only chaotic,
but also the fastest scrambler in nature.
