Before revision:  The correlation-based network of leaders and communities changes with time, especially during market events like crashes , bubbles, etc. 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.
After revision:  The correlation-based network of leaders and communities changes with time, especially during market events like crashes . It is crucial to detect their signatures for timely intervention or prevention. Here we use eigenvalue decomposition and 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.