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Community detection and link prediction are both of great significance innetwork analysis, which provide very valuable insights into topologicalstructures of the network from different perspectives. In this paper, wepropose a novel community detection algorithm with inclusion of linkprediction, motivated by the question whether link prediction can be devoted toimproving the accuracy of community partition. For link prediction, we proposetwo novel indices to compute the similarity between each pair of nodes, one ofwhich aims to add missing links, and the other tries to remove spurious edges.Extensive experiments are conducted on benchmark data sets, and the results ofour proposed algorithm are compared with two classes of baseline. Inconclusion, our proposed algorithm is competitive, revealing that linkprediction does improve the precision of community detection.

Community Detection in Complex Networks using Link Prediction