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Identifying influential spreaders in social network is of great theoretical and practical significance. In this paper, we propose an improved weighted LeaderRank algorithm. Instead of considering degree of node only, we also take clustering coefficient into account to depict the weight. Moreover, we change the way of score assignment, which can give more scores to those high-influence nodes. Compared...
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