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Another model, which generalizes Gilbert's random graph model, is the random dot-product model. A random dot-product graph associates with each vertex a real vector. The probability of an edge uv between any vertices u and v is some function of the dot product u • v of their respective vectors.
Another model, which generalizes Gilbert's random graph model, is the random dot-product model. A random dot-product graph associates with each vertex a real vector. The probability of an edge uv between any vertices u and v is some function of the dot product u • v of their respective vectors.
另一个模型，概括了吉尔伯特的随机图模型，是随机点积模型。一个随机点积图将每个顶点与一个实向量相关联。任意顶点 u 和 v 之间的边 uv 的概率是它们各自向量的点积 u · v 的某个函数。
另一个模型，概括了吉尔伯特的随机图模型，是随机点积模型。一个随机点积图将每个顶点与一个实向量相关联。任意顶点 ''u'' 和 ''v'' 之间的边 ''uv'' 的概率是它们各自向量的点积 ''u'' · ''v'' 的某个函数。
The network probability matrix models random graphs through edge probabilities, which represent the probability <math>p_{i,j}</math> that a given edge <math>e_{i,j}</math> exists for a specified time period. This model is extensible to directed and undirected; weighted and unweighted; and static or dynamic graphs structure.
The network probability matrix models random graphs through edge probabilities, which represent the probability <math>p_{i,j}</math> that a given edge <math>e_{i,j}</math> exists for a specified time period. This model is extensible to directed and undirected; weighted and unweighted; and static or dynamic graphs structure.
'''<font color="#ff8000">网络转移矩阵 NetWork Probability Matrix </font>'''通过边概率对随机图进行建模，这些边概率代表给定的边存在一个特定的时间段的概率。这个模型可以扩展到有向和无向，加权和无权，以及静态或动态的图形结构。