Before revision:  Using the eigen-entropy measure , computed from the eigen-centralities (ranks) of different stocks in the correlation network, we extract information about the "disorder " (or randomness) in the market correlation and its different modes. The relative-entropy measures computed for these modes enable us to construct a "phase space", where the different market events undergo "phase-separation" and display " order-disorder " transitions, as observed in critical phenomena in physics.
After revision:  Using the eigen-entropy measure , computed from the eigen-centralities (ranks) of different stocks in the correlation network, we extract information about the "disorder " (or randomness) in the market . We construct a `phase space', where different market events undergo "phase-separation" and display " order-disorder " transitions, as observed in critical phenomena in physics.