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Community detection in complex networks has attracted a lot of attentions in recent years. Compared with the traditional single-objective community detection approaches, the multi-objective approaches based on evolutionary computation can provide a decision maker with more flexible and promising solutions. How to make effective use of the optimal solution set returned by the multi-objective community...
Based on the complex network theory, we proposed a clustering algorithm based on content similarity. Firstly, the Chinese documents are represented by the vector-space model, and the content similarity between any two documents is computed by the cosine similarity. Consequently, the network node is defined as a document, and the edge weight is defined as the similarity obtained by the cosine similarity...
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