Stochastic Block Model

The Stochastic Block Model (SBM) is a way to understand and analyze networks by grouping nodes (like people, websites, or proteins) into communities or blocks. It assumes nodes within the same group have a higher probability of connecting to each other, while connections between different groups are less likely. By modeling these patterns probabilistically, SBM helps identify hidden community structures and predict how nodes might be connected, providing insights into the overall organization of complex networks in fields like sociology, biology, and computer science.