The application discloses a method for normalizing and comparing horizontal
gene transfer (HGT) network, comprising the following steps: S1, using
Bayesian probability model to normalize HGT according to sequencing amount; S2, in the HGT network, each
genome is represented as a vertex, and if HGT occurs between two genomes, there is an edge between the two vertices; S3, using different classification levels to annotate
genome sequence, and obtaining HGT network of different classification levels; S4, analyzing HGT network through several topological properties of graph density, transitivity, homophily and algebraic
connectivity. The graph density, transitivity, homophily and algebraic
connectivity are used to describe the network, and the HGT network is compared among samples in different groups, so that a new analysis direction is provided for the correlation between metagenome and human
phenotype, and the metagenome can be more systematically modeled and analyzed by calculating various topological properties to analyze the HGT network.