find.cut {blockmodeling} | R Documentation |

The functions compute the maximum value of `m/cut`

where a certain block is still classified as `alt.blocks`

and not "null".
The difference between `find.m`

and `find.m2`

it that `find.m`

uses an optimization approach and is faster and more precise
than `find.m2`

. However, `find.m`

only supports regular ("reg") and complete ("com") as `alt.blocks`

, while `find.m2`

supports all block types.
Also, `find.m`

does not always work, especially if `cormet`

is not "none".

```
find.cut(M, clu, alt.blocks = "reg", cuts = "all", ...)
find.m(
M,
clu,
alt.blocks = "reg",
diag = !is.list(clu),
cormet = "none",
half = TRUE,
FUN = "max"
)
find.m2(M, clu, alt.blocks = "reg", neval = 100, half = TRUE, ms = NULL, ...)
```

`M` |
A matrix representing the (usually valued) network. For now, only one-relational networks are supported. The network can have one or more modes (different kinds of units with no ties among themselves. If the network is not two-mode, the matrix must be square. |

`clu` |
A partition. Each unique value represents one cluster. If the network is one-mode, then this should be a vector, else a list of vectors, one for each mode. |

`alt.blocks` |
Only one of allowed blocktypes, as alternative to the null block: |

`cuts` |
The cuts, which should be evaluated. If |

`...` |
Other parameters to |

`diag` |
(default = |

`cormet` |
Which method should be used to correct for different maximum error contributions |

`half` |
Should the returned value of m be one half of the value where the inconsistencies are the same. |

`FUN` |
(default = "max") Function f used in row-f-regular, column-f-regular, and f-regular blocks. |

`neval` |
A number of different |

`ms` |
The values of m where the function should be evaluated. |

A matrix of maximal `m/cut`

values.

Aleš Žiberna

Doreian, P., Batagelj, V. & Ferligoj, A. Anuška (2005). Generalized blockmodeling, (Structural analysis in the social sciences, 25). Cambridge [etc.]: Cambridge University Press.

Žiberna, A. (2007). Generalized Blockmodeling of Valued Networks. Social Networks, 29(1), 105-126. doi: 10.1016/j.socnet.2006.04.002

Žiberna, A. (2008). Direct and indirect approaches to blockmodeling of valued networks in terms of regular equivalence. Journal of Mathematical Sociology, 32(1), 57-84. doi: 10.1080/00222500701790207

Žiberna, A. (2014). Blockmodeling of multilevel networks. Social Networks, 39(1), 46-61. doi: 10.1016/j.socnet.2014.04.002

`critFunC`

and maybe also `optParC`

, `plotMat`

[Package *blockmodeling* version 1.1.5 Index]