The invention provides a dynamic network abnormal link behavior detection method and a system thereof. The method comprises the following steps of: determining, according to the first T time slice networks {G1, G2, ..., GT-1, GT}, a historical network Ghistory of the current time slice network GT+1; performing network representation learning on the historical network Ghistory by using a network representation learning method to determine a new historical network G'history; determining a similarity adj (i, j) between the network node pairs (i, j) according to the distance dij between the network node pairs (i, j) in the new historical network G'history; and if it is determined that the proximity adj(i, j) is less than the preset abnormality determination threshold, determining that the link(i, j) between the node pairs (i, j) in the current time slice network GT+1 is an abnormal link behavior. The system includes a historical network construction module, a network representation learning module, a proximity determination module, and an abnormal link determination module. The invention may obtain the degree of similarity between nodes, and is further capable of more accurately identifying the abnormal link behavior of the dynamic network according to the similarity between the nodes.