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Link prediction is an important content in the related fields of social networks. Nowadays, the link prediction algorithm based on node similarity is the research hotspot. Node similarity is usually calculated by common neighbours, however, the impact of each common neighbour on the link is different, and how to distinguish the different roles of common neighbours needs to be further studied. The...
A link prediction (LP) algorithm is given a graph, and has to rank, for each node, other nodes that are candidates for new linkage. LP is strongly motivated by social search and recommendation applications. LP techniques often focus on global properties (graph conductance, hitting or commute times, Katz score) or local properties (Adamic-Adar and many variations, or node feature vectors), but rarely...
In online social networks, social influence of a user reflects his or her reputation or importance in the whole network or to a personalized user. Social influence analysis can be used in many real applications, such as link prediction, friend recommendation and personalized searching. Personalized Page Rank, which ranks nodes according to the probabilities that a random walk starting from a personalized...
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