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The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:

The degree distribution is very important in studying both real networks, such as the Internet and social networks, and theoretical networks.  The simplest network model, for example, the (Erdős–Rényi model) random graph, in which each of n nodes is independently connected (or not) with probability p (or 1 − p), has a binomial distribution of degrees k:

度分布在研究真实网络(如互联网和社会网络)和理论网络中都非常重要。最简单的网络模型，例如(Erdős–Rényi 模型)'''<font color="#ff8000">随机图 Random Graph</font>'''，其中每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，它的'''<font color="#ff8000">二项分布 Binomial Distribution</font>'''的度值为''k'':

度分布无论是在研究真实网络(如互联网和社会网络)中还是在理论网络中都非常重要。以最简单的网络模型(Erdős–Rényi 模型)w

'''<font color="#ff8000">随机图 Random Graph</font>'''为例，它的每''n''个节点都以概率''p'' (或1 − ''p'')独立连接(或不独立连接) ，其中'''<font color="#ff8000">二项分布 Binomial Distribution</font>'''的度值为''k'':