Social network alignment method and system based on multi-information fusion and graph optimization

The invention provides a social network alignment method and system based on multiple information fusion and graph optimization, and belongs to the technical field of internet social networks, and the method comprises the steps: obtaining the structure information, behavior information and attribute information of a user according to the constructed social network user graph data; according to the constructed optimization model; transmission matrixes from a source network node structure embedding matrix to a target network structure information embedding matrix, a behavior information embedding matrix and an attribute information embedding matrix are obtained respectively, and three node embedding similarity matrixes of a source network and a target network are obtained through calculation; and obtaining a fusion embedding similarity matrix based on a gating mechanism, and obtaining a user alignment node. The semantic features of the user are extracted, the sparseness of the network structure is reduced, pre-