FindGraphPartition

FindGraphPartition[g]

gives a partition of vertices of the graph g.

FindGraphPartition[g,k]

gives a partition of vertices into k approximately equal-size parts.

FindGraphPartition[g,{n1,,nk}]

gives a partition of vertices into parts with sizes n1, , nk.

FindGraphPartition[g,{α1,,αk}]

gives a partition of vertices into parts with approximate size proportions α1, , αk.

FindGraphPartition[{vw,},]

uses rules vw to specify the graph g.

Details

  • FindGraphPartition finds a partition of vertices such that the number of edges having endpoints in different parts is minimized.
  • FindGraphPartition[g] is equivalent to FindGraphPartition[g,2].
  • FindGraphPartition treats graphs as undirected simple graphs.
  • For a weighted graph, FindGraphPartition finds a partition such that the sum of edge weights for edges having endpoints in different parts is minimized.
  • FindGraphPartition[g,{α1,,αk}] will give a partition where the size of a part is given by the sum of its vertex weights.
  • The partitions are ordered by their length with the largest part first.

Examples

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Basic Examples  (1)

Find a partition of a graph:

Highlight the partition:

Scope  (10)

FindGraphPartition works with undirected graphs:

Directed graphs:

Weighted graphs:

Multigraphs:

Mixed graphs:

Find a k-way partition of a graph:

Find a partition with specified sizes:

Find a partition with specified proportions:

Use rules to specify the graph:

FindGraphPartition works with large graphs:

Applications  (4)

Partition an irregular mesh over a three-dimensional structure into four parts:

Highlight the partitioned mesh:

Reorder the matrix into block-diagonal form with the number of off-diagonal elements minimized:

Show the matrix before and after the ordering:

A sponsored search graph with advertisers and phrases as nodes and links from an advertiser to a phrase he bids on:

Find submarkets and groups of advertisers that do most of their spending on a group of query phrases:

Find communities in social networks using graph partitioning:

Highlight the communities:

Properties & Relations  (1)

Use FindGraphCommunities to find communities in a graph:

Wolfram Research (2012), FindGraphPartition, Wolfram Language function, https://reference.wolfram.com/language/ref/FindGraphPartition.html (updated 2015).

Text

Wolfram Research (2012), FindGraphPartition, Wolfram Language function, https://reference.wolfram.com/language/ref/FindGraphPartition.html (updated 2015).

BibTeX

@misc{reference.wolfram_2020_findgraphpartition, author="Wolfram Research", title="{FindGraphPartition}", year="2015", howpublished="\url{https://reference.wolfram.com/language/ref/FindGraphPartition.html}", note=[Accessed: 03-December-2020 ]}

BibLaTeX

@online{reference.wolfram_2020_findgraphpartition, organization={Wolfram Research}, title={FindGraphPartition}, year={2015}, url={https://reference.wolfram.com/language/ref/FindGraphPartition.html}, note=[Accessed: 03-December-2020 ]}

CMS

Wolfram Language. 2012. "FindGraphPartition." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2015. https://reference.wolfram.com/language/ref/FindGraphPartition.html.

APA

Wolfram Language. (2012). FindGraphPartition. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/FindGraphPartition.html