A centrality measure for quantifying spread on weighted, directed networks

A Congressional Twitter network dataset quantifying pairwise probability of influence

“…We have also included code for applying our novel Viral Centrality algorithm [1] to this dataset. Viral Centrality efficiently approximates Monte Carlo simulations of the Independent Cascade Model (ICM), in which one “seed node” in a network starts out in an “activated” state and the rest begin in an “inactive” state.…”