基于资源传输节点拓扑紧密性的链路预测方法

针对现有基于网络拓扑结构的局部相似性RA指标未考虑传输节点拓扑紧密性的问题,提出一种节点拓扑紧密性指标及链路预测方法。根据多跳节点资源传输情况确定重要传输节点,基于传输节点周围拓扑集聚程度对拓扑紧密性进行量化,并根据传输节点紧密性对共同邻居传输资源量的影响刻画节点间相似性。实验结果表明,该方法具有较高的普适性,所提相似性指标适合于Precision标准,与CN、AA和CAR等现有相似性指标相比,具有较高的预测精度。

Relative N-compactness in L-fuzzy Topological Spaces

The concept of relative N-compactness is defined and characterized in terms ofnets. It is shown that the relative N-compactness is hereditary with respect to L-fuzzy setsand the relative N-compactness is L-good extension. Some connections between the N-compactness and the relative N-compactness are investigated. It is also proved that inducedrelative N-compact spaces are productive, and the product of finite relative compact sets isrelative compact.