Modularity Community Detection in a Quantum-Tech Collaboration Network

This simulation runs a real greedy modularity-optimization algorithm (the Clauset–Newman–Moore fast-greedy method) on a synthetic network of quantum-tech researchers and their collaborations. Starting from every researcher as their own singleton community, the algorithm repeatedly merges whichever pair of communities produces the largest exact increase in modularity Q = (1/2m)Σ[A_ij − k_i·k_j/(2m)]δ(c_i,c_j), computed directly from the graph's adjacency matrix and degree sequence — not faked or pre-assigned. Watch nodes visibly group into color-coded communities as Q climbs toward its greedy-optimal value, then generate a fresh random network to see the algorithm re-discover a different hidden structure.