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→背景和历史
Probabilistic theory in network science developed as an offshoot of [[graph theory]] with [[Paul Erdős]] and [[Alfréd Rényi]]'s eight famous papers on [[random graphs]]. For [[social networks]] the [[exponential random graph model]] or p* is a notational framework used to represent the probability space of a tie occurring in a [[social network]]. An alternate approach to network probability structures is the [[network probability matrix]], which models the probability of edges occurring in a network, based on the historic presence or absence of the edge in a sample of networks.
Probabilistic theory in network science developed as an offshoot of [[graph theory]] with [[Paul Erdős]] and [[Alfréd Rényi]]'s eight famous papers on [[random graphs]]. For [[social networks]] the [[exponential random graph model]] or p* is a notational framework used to represent the probability space of a tie occurring in a [[social network]]. An alternate approach to network probability structures is the [[network probability matrix]], which models the probability of edges occurring in a network, based on the historic presence or absence of the edge in a sample of networks.
Probabilistic theory in network science developed as an offshoot of graph theory with Paul Erdős and Alfréd Rényi's eight famous papers on random graphs. For social networks the exponential random graph model or p* is a notational framework used to represent the probability space of a tie occurring in a social network. An alternate approach to network probability structures is the network probability matrix, which models the probability of edges occurring in a network, based on the historic presence or absence of the edge in a sample of networks.
20世纪90年代，在Paul Erdős和Alfréd Rényi发表了8篇关于随机图的著名论文之后，网络科学中的概率理论Probabilistic theory 作为图论的一个分支发展起来了。 对于[[社交网络]]social network来说，指数随机图模型或p* (是一个记号框架），用来表示在一个社交网络中连边在概率空间发生的概率。 网络概率结构的另一种替代表示方法是网络概率矩阵，它根据网络样本中边的历史信息来计算这条边在网络中出现的概率。
[[用户:思无涯咿呀咿呀|思无涯咿呀咿呀]]（[[用户讨论:思无涯咿呀咿呀|讨论]]）概率理论Probabilistic theory，之所以没有翻译成概率论是因为概率论作为一个单独的学科是翻译成statistics，而这里特指的是网络科学里面的概率理论部分[[用户:思无涯咿呀咿呀|思无涯咿呀咿呀]]（[[用户讨论:思无涯咿呀咿呀|讨论]]）
In 1998, [[David Krackhardt]] and [[Kathleen Carley]] introduced the idea of a meta-network with the PCANS Model. They suggest that "all organizations are structured along these three domains, Individuals, Tasks, and Resources". Their paper introduced the concept that networks occur across multiple domains and that they are interrelated. This field has grown into another sub-discipline of network science called [[dynamic network analysis]].
In 1998, [[David Krackhardt]] and [[Kathleen Carley]] introduced the idea of a meta-network with the PCANS Model. They suggest that "all organizations are structured along these three domains, Individuals, Tasks, and Resources". Their paper introduced the concept that networks occur across multiple domains and that they are interrelated. This field has grown into another sub-discipline of network science called [[dynamic network analysis]].