198
个编辑
更改
→节点中心性
</ref> For example, imagine two separate communities whose only link is an edge between the most junior member of each community. Since any transfer from one community to the other must go over this link, the two junior members will have high betweenness centrality. But, since they are junior, (presumably) they have few connections to the "important" nodes in their community, meaning their eigenvalue centrality would be quite low.
</ref> For example, imagine two separate communities whose only link is an edge between the most junior member of each community. Since any transfer from one community to the other must go over this link, the two junior members will have high betweenness centrality. But, since they are junior, (presumably) they have few connections to the "important" nodes in their community, meaning their eigenvalue centrality would be quite low.
中心性指数只能准确地识别最中心的节点，这些测量对其余的网络节点几乎没有意义。
<ref name="Lawyer2015">
<ref name="Lawyer2015">
{{cite journal |last1= Lawyer |first1= Glenn |title= Understanding the spreading power of all nodes in a network| journal=Scientific Reports
{{cite journal |last1= Lawyer |first1= Glenn |title= Understanding the spreading power of all nodes in a network| journal=Scientific Reports
而且，这些指标只在它们所假定的重要性的含义下是准确的，而在其他重要性含义中往往是“错误的”。<ref name="Borgatti2005">
而且，这些指标只在它们所假定的重要性的含义下是准确的，而在其他重要性含义中往往是“错误的”。<ref name="Borgatti2005">
{{cite journal |last1= Borgatti |first1= Stephen P.|year= 2005 |title= Centrality and Network Flow |journal=Social Networks |volume= 27|issue= |pages= 55–71|doi=10.1016/j.socnet.2004.11.008 |url= |citeseerx= 10.1.1.387.419}}
{{cite journal |last1= Borgatti |first1= Stephen P.|year= 2005 |title= Centrality and Network Flow |journal=Social Networks |volume= 27|issue= |pages= 55–71|doi=10.1016/j.socnet.2004.11.008 |url= |citeseerx= 10.1.1.387.419}}
</ref> 例如，假设有两个互相分离的团块，只在两个团块中较小成员之间存在一条边。由于从一个团块到另外一个团块的任何迁移都要通过那一条边，因此这两个较小成员就会有很高的介数中心性。但是它们是重要性较低的成员，它们和“重要的”节点之间连接较少，这就意味着它们的本征值中心性较小。
</ref> 例如，假设有两个互相分离的团块，只在两个团块中较小成员之间存在一条边。由于从一个团块到另外一个团块的任何迁移都要通过这条边，因此这两个较小成员就会有很高的介数中心性。但是由于它们是重要性较低的成员，它们和“重要的”节点之间连接较少，这就意味着它们的本征值中心性较小。