It implicitly promotes the number of topics covered in the selected keyphrases by dampening intra-topic recommendation, and captures the mutually reinforcing relationship between topics and keyphrase candidates.
removing edges between candidates belonging to a single topic ensures that the overall recommendation of each topic is distributed throughout the entire graph.