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Research on Node Importance Ranking Based on the Vector Similarity Method

机译:基于向量相似度方法的节点重要性排序研究

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Based on the vector similarity theory, a new method of node importance ranking is proposed in this paper. The paper introduces four typical evaluation index of the node importance and points out their common faults. And the basic theory and steps of the vector similarity are discusses in detail. Finally, an example shows that the effectiveness and practicality of this method by the comparison of node importance ranking among the degree method, the between ness method, the closeness method and the eigenvector method.
机译:基于向量相似度理论,提出了一种新的节点重要性排序方法。介绍了节点重要性的四个典型评价指标,指出了它们的常见故障。并详细讨论了矢量相似性的基本理论和步骤。最后通过实例比较了度法,关系法,亲和度法和特征向量法之间的节点重要性排序,证明了该方法的有效性和实用性。

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