中心性
节点(物理)
亲密度
计算机科学
复杂网络
结构孔
钥匙(锁)
中间性中心性
网络理论
理论计算机科学
拓扑(电路)
基质(化学分析)
学位(音乐)
相互依存的网络
数据挖掘
网络科学
数学
工程类
物理
声学
社会资本
材料科学
社会科学
复合材料
社会学
万维网
数学分析
计算机安全
组合数学
结构工程
统计
作者
Canshi Zhu,Xiaoyang Wang,Lin Zhu
标识
DOI:10.1016/j.chaos.2017.01.007
摘要
In order to evaluate the influence of nodes in complex networks, a new method is advanced of evaluating key nodes in complex networks, in combination with the "structural hole" theory and closeness centrality of nodes, through defining and applying the influence matrix of nodes' "structural holes" in response to the limitations of existing methods. The "structural hole" theory gives a comprehensive consideration of the node degree as well as information about topological relations with its neighbors, whereas the closeness centrality of nodes is a reflection of the node's global information. The "structural holes" influence matrix in degree reflects the node's local and global information. So a more proper evaluation standard is established for influence of nodes and a simulation analysis is made of different-scale networks. The results of such analyses show that the method can not only make an exact assessment of the influence of nodes, but also obtain ideal evaluation results from actual complex networks of different scale.
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