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添加2字节 、 2020年3月15日 (日) 21:43
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当连边与友谊或者合作相关时,指向的度中心常被解释为赶潮流,指出被解释为交际。对于有<math>|V|</math>个节点<math>|E|</math>条边的图<math>G:=(V,E)</math>,节点<math>v</math>的度中心定义为,
 
当连边与友谊或者合作相关时,指向的度中心常被解释为赶潮流,指出被解释为交际。对于有<math>|V|</math>个节点<math>|E|</math>条边的图<math>G:=(V,E)</math>,节点<math>v</math>的度中心定义为,
   −
:<math>C_D(v)= \deg(v)</math>
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:<math>C_{D(v)}= \deg(v)</math>
    
Calculating degree centrality for all the nodes in a graph takes [[big theta|<math>\Theta(V^2)</math>]] in a [[dense matrix|dense]] [[adjacency matrix]] representation of the graph, and for edges takes <math>\Theta(E)</math> in a [[sparse matrix]] representation.
 
Calculating degree centrality for all the nodes in a graph takes [[big theta|<math>\Theta(V^2)</math>]] in a [[dense matrix|dense]] [[adjacency matrix]] representation of the graph, and for edges takes <math>\Theta(E)</math> in a [[sparse matrix]] representation.

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