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==First evolving network model – scale-free networks==

==First evolving network model – scale-free networks 第一个演化网络模型——无标度网络==

{{Main| Barabási–Albert model }}

{{Main| Barabási–Albert model }}

The Barabási–Albert (BA) model was the first widely accepted model to produce scale-free networks. This was accomplished by incorporating preferential attachment and growth, where nodes are added to the network over time and are more likely to link to other nodes with high degree distributions. The BA model was first applied to degree distributions on the web, where both of these effects can be clearly seen. New web pages are added over time, and each new page is more likely to link to highly visible hubs like Google which have high degree distributions than to nodes with only a few links. Formally this preferential attachment is:

The Barabási–Albert (BA) model was the first widely accepted model to produce scale-free networks. This was accomplished by incorporating preferential attachment and growth, where nodes are added to the network over time and are more likely to link to other nodes with high degree distributions. The BA model was first applied to degree distributions on the web, where both of these effects can be clearly seen. New web pages are added over time, and each new page is more likely to link to highly visible hubs like Google which have high degree distributions than to nodes with only a few links. Formally this preferential attachment is:

Barab si-Albert (BA)模型是第一个被广泛接受的产生无标度网络的模型。这是通过合并优先连接和增长来实现的，随着时间的推移，节点被添加到网络中，并且更有可能链接到其他高度分布的节点。Ba 模型首先应用于网络上的度分布，这两种影响都可以清楚地看到。随着时间的推移，新的网页会不断增加，每个新的网页都更有可能链接到像谷歌这样高度分布的高度可见的中心，而不是只有少量链接的节点。从形式上来说，这种优先附属关系是:

Barabási–Albert (BA)模型是第一个被广泛接受的产生无标度网络的模型。这是通过合并优先链接和增长来实现的，随着时间的推移，节点被添加到网络中，并且更有可能链接到其他度较大的节点。BA 模型首先应用于互联网的度分布，这两种影响都可以清楚地看到。随着时间的推移，新的网页会不断增加，并且每个新的网页都更有可能链接到像谷歌这样具有很高的度分布的高度可见的中心，而不是只有少量链接的节点。从形式上来说，这种优先链接关系是:

数学，数学，数学

数学，数学，数学

==Additions to BA model==

==Additions to BA model==