Before revision:  We study how false positives bias the properties of the networks inferred by bivariate and multivariate algorithms . Mutual information , bivariate transfer entropy, and multivariate transfer entropy are respectively used for inferring functional, directed-functional, and effective networks .
After revision:  We study the extent to which micro- and macroscopic properties of underlying networks can be inferred by algorithms based on mutual information and bivariate/ multivariate transfer entropy are respectively used for inferring functional, directed-functional, and effective networks .