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→Biological network analysis
动态网络技术是非常有用的一种方法，特别是对于评估网络随时间变化的趋势和变化，识别新兴领导者，以及检查人与想法的共同进化等方面。
动态网络技术是非常有用的一种方法，特别是对于评估网络随时间变化的趋势和变化，识别新兴领导者，以及检查人与想法的共同进化等方面。
===Biological network analysis===
===生物网络分析===
With the recent explosion of publicly available high throughput biological data, the analysis of molecular networks has gained significant interest. The type of analysis in this content are closely related to social network analysis, but often focusing on local patterns in the network. For example, [[network motif]]s are small subgraphs that are over-represented in the network. [[Activity motifs]] are similar over-represented patterns in the attributes of nodes and edges in the network that are over represented given the network structure. The analysis of [[biological network]]s has led to the development of [[network medicine]], which looks at the effect of diseases in the [[interactome]].<ref>{{cite journal | last1 = Barabási | first1 = A. L. | last2 = Gulbahce | first2 = N. | last3 = Loscalzo | first3 = J. | year = 2011 | title = Network medicine: a network-based approach to human disease | journal = Nature Reviews Genetics | volume = 12 | issue = 1| pages = 56–68 | doi=10.1038/nrg2918 | pmid=21164525 | pmc=3140052}}</ref>
With the recent explosion of publicly available high throughput biological data, the analysis of molecular networks has gained significant interest. The type of analysis in this content are closely related to social network analysis, but often focusing on local patterns in the network. For example, [[network motif]]s are small subgraphs that are over-represented in the network. [[Activity motifs]] are similar over-represented patterns in the attributes of nodes and edges in the network that are over represented given the network structure. The analysis of [[biological network]]s has led to the development of [[network medicine]], which looks at the effect of diseases in the [[interactome]].<ref>{{cite journal | last1 = Barabási | first1 = A. L. | last2 = Gulbahce | first2 = N. | last3 = Loscalzo | first3 = J. | year = 2011 | title = Network medicine: a network-based approach to human disease | journal = Nature Reviews Genetics | volume = 12 | issue = 1| pages = 56–68 | doi=10.1038/nrg2918 | pmid=21164525 | pmc=3140052}}</ref>
随着近年来公开的生物学数据的爆炸性增长，分子网络的分析引起了人们极大的兴趣。对于生物网络的分析方法与社会网络分析分析密切相关，但通常更关注于网络中的局部模式。例如网络模体network motifs是指网络中一些小的子图；活动图也是指类似的被过度表征的斑图，在给定网络结构下，它们是指在网络中节点和连边的贡献度被过度表示。生物网络的分析促进了网络医学的发展，网络医学主要是从交互中观察疾病的影响。 [33]
[[用户:18621066378|18621066378]]（[[用户讨论:18621066378|讨论]]）motifs找到的相关资料是说：我们说motifs就是与随机网络相比出现次数较多的n-node subgraph结构。那么翻译成中文应该是什么呢？[[用户:18621066378|18621066378]]（[[用户讨论:18621066378|讨论]]）
[[用户:18621066378|18621066378]]（[[用户讨论:18621066378|讨论]]）motifs找到的相关资料是说：我们说motifs就是与随机网络相比出现次数较多的n-node subgraph结构。那么翻译成中文应该是什么呢？[[用户:18621066378|18621066378]]（[[用户讨论:18621066378|讨论]]）