更改

这两种度量都可以仅从网络的结构中有意义地计算出来。

这两种度量都可以仅从网络的结构中有意义地计算出来。

== Network models ==

== 网络模型 ==

Network models serve as a foundation to understanding interactions within empirical complex networks.  Various [[random graph]] generation models produce network structures that may be used in comparison to real-world complex networks.

Network models serve as a foundation to understanding interactions within empirical complex networks.  Various [[random graph]] generation models produce network structures that may be used in comparison to real-world complex networks.

网络模型是理解经验上复杂网络内相互作用的基础，各种各样的[[随机图]]生成模型生成的网络结构可与现实中的复杂网络进行比较。

网络模型是理解经验上复杂网络内相互作用的基础，各种各样的[[随机图]]生成模型生成的网络结构可与现实中的复杂网络进行比较。

=== Erdős–Rényi random graph model ===

=== Erdős–Rényi random graph model ===

[[File:ER model.svg|thumb|This [[Erdős–Rényi model]] is generated with {{math|<VAR>N</VAR> {{=}} 4}} nodes. For each edge in the complete graph formed by all {{mvar|N}} nodes, a random number is generated and compared to a given probability. If the random number is less than {{mvar|p}}, an edge is formed on the model.]]

[[File:ER model.svg|thumb|This [[Erdős–Rényi model]] is generated with {{math|<VAR>N</VAR> {{=}} 4}} nodes. For each edge in the complete graph formed by all {{mvar|N}} nodes, a random number is generated and compared to a given probability. If the random number is less than {{mvar|p}}, an edge is formed on the model.]]