Before revision:  SpeakEasy can quickly process networks with tens of thousands of nodes , quantify the stability of each cluster and detect an optimal number of clusters without requiring user preset parameter. Clustering networks derived from gene microarrays, protein affinity , sorted cell populations, electrophysiology , functional magnetic resonance imaging of resting-state brain activity, and synthetic datasets validate the ability of SpeakEasy to facilitate biological insights.
After revision:  SpeakEasy can quickly process networks with tens of thousands of nodes . SpeakEasy shows top performance on synthetic clustering benchmarks and accurately identifies meaningful biological communities in a range of datasets, including: gene microarrays, protein affinity , sorted cell populations, electrophysiology , functional magnetic resonance imaging of resting-state brain activity, and synthetic datasets validate the ability of SpeakEasy to facilitate biological insights.