RankedEmbedding
RankedEmbedding[l]
takes a set partition l of vertices {1,2,…,n} and returns an embedding of the vertices in the plane such that the vertices in each block occur on a vertical line with block 1 vertices on the leftmost line, block 2 vertices in the next line, and so on.
RankedEmbedding[g,l]
takes a graph and a set partition l of the vertices of
and returns the graph
with vertices embedded according to RankedEmbedding[l].
RankedEmbedding[g,s]
takes a graph and a set s of vertices of
and returns a ranked embedding of
in which vertices in s are in block 1, vertices at distance 1 from any vertex in block 1 are in block 2, and so on.
Details and Options
- RankedEmbedding functionality is now available in the built-in Wolfram Language function GraphLayout.
- To use RankedEmbedding, you first need to load the Combinatorica Package using Needs["Combinatorica`"].
Wolfram Research (2012), RankedEmbedding, Wolfram Language function, https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html.
Text
Wolfram Research (2012), RankedEmbedding, Wolfram Language function, https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html.
Wolfram Research (2012), RankedEmbedding, Wolfram Language function, https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html.
CMS
Wolfram Language. 2012. "RankedEmbedding." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html.
Wolfram Language. 2012. "RankedEmbedding." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html.
APA
Wolfram Language. (2012). RankedEmbedding. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html
Wolfram Language. (2012). RankedEmbedding. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html
BibTeX
@misc{reference.wolfram_2025_rankedembedding, author="Wolfram Research", title="{RankedEmbedding}", year="2012", howpublished="\url{https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html}", note=[Accessed: 08-April-2025
]}
BibLaTeX
@online{reference.wolfram_2025_rankedembedding, organization={Wolfram Research}, title={RankedEmbedding}, year={2012}, url={https://reference.wolfram.com/language/Combinatorica/ref/RankedEmbedding.html}, note=[Accessed: 08-April-2025
]}