1. A method for detecting collusion in online gaming involving a plurality of players, comprising the steps of: collecting data on every action in every game for every player and sending the data to an online gaming database; storing game information data on every action in every game for every player in the online gaming database; storing game action data on every action in every game for every player in the online gaming database; performing a player action analysis of correlated actions between a pair of online game players and building a user action database with data obtained in the player action analysis; creating one or more Bayesian Network graphical models; employing the Bayesian Network graphical models to determine a likelihood of conditional behavior between the pair of online game players; computing individual scores for the Bayesian Network graphical models using a Bayesian statistical technique; comparing the score of a collusional model with that of a non-collusional model; and performing a collusion threshold analysis using a thresholding scheme to determine whether the collusional model is appropriate for the pair of online game players.