VertexCorrelationSimilarity

VertexCorrelationSimilarity[g,u,v]

给出图 guv 顶点间的相关相似度.

VertexCorrelationSimilarity[{vw,},]

使用规则 vw 指定图 g.

更多信息

  • 顶点相关相似度也称之为皮尔逊(Pearson)相关系数.
  • VertexCorrelationSimilarity 可用于无向图、有向图、加权图、多图和混合图.

范例

打开所有单元关闭所有单元

基本范例  (1)

图中两顶点间的相关相似度:

范围  (7)

VertexCorrelationSimilarity 适用于无向图:

有向图:

加权图:

多图:

混合图:

使用规则指定图:

VertexCorrelationSimilarity 作用于大规模图:

属性和关系  (3)

使用 CorrelationDistance 计算图的相关相似度:

如果其中一个顶点的度数为0,那么两顶点间的相关相似度为0:

两顶点间的相关相似度为1,如果它们具有相同的邻点:

Wolfram Research (2012),VertexCorrelationSimilarity,Wolfram 语言函数,https://reference.wolfram.com/language/ref/VertexCorrelationSimilarity.html (更新于 2015 年).

文本

Wolfram Research (2012),VertexCorrelationSimilarity,Wolfram 语言函数,https://reference.wolfram.com/language/ref/VertexCorrelationSimilarity.html (更新于 2015 年).

CMS

Wolfram 语言. 2012. "VertexCorrelationSimilarity." Wolfram 语言与系统参考资料中心. Wolfram Research. 最新版本 2015. https://reference.wolfram.com/language/ref/VertexCorrelationSimilarity.html.

APA

Wolfram 语言. (2012). VertexCorrelationSimilarity. Wolfram 语言与系统参考资料中心. 追溯自 https://reference.wolfram.com/language/ref/VertexCorrelationSimilarity.html 年

BibTeX

@misc{reference.wolfram_2024_vertexcorrelationsimilarity, author="Wolfram Research", title="{VertexCorrelationSimilarity}", year="2015", howpublished="\url{https://reference.wolfram.com/language/ref/VertexCorrelationSimilarity.html}", note=[Accessed: 21-November-2024 ]}

BibLaTeX

@online{reference.wolfram_2024_vertexcorrelationsimilarity, organization={Wolfram Research}, title={VertexCorrelationSimilarity}, year={2015}, url={https://reference.wolfram.com/language/ref/VertexCorrelationSimilarity.html}, note=[Accessed: 21-November-2024 ]}