The spectral gap refers to the difference between the largest eigenvalue and the second-largest eigenvalue of a graph's adjacency matrix or Laplacian matrix. This concept is crucial in understanding the stability and connectivity properties of networks, as a larger spectral gap often indicates better performance in terms of robustness and resilience to failures or attacks in network design.
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