find.m {blockmodeling}R Documentation

Computing the threshold

Description

The functions compute the maxsimum value of m/cut where a ceratin block is still classified as alt.blocks and not "null". The difference between find.m and find.m2 it that find.m uses an optimizational 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, sepecially if cormat is not "none".

Usage

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

Value

A matrix of maximal m/cut values.

Author(s)

Aleš Žiberna

References

ŽIBERNA, Aleš. Generalized blockmodeling for valued networks. V: SUNBELT XXV : Program and abstracts. Redondo Beach, 2005, p. 79. http://www.socsci.uci.edu/~ssnconf/conf/SunbeltXXVProgram.pdf.

DOREIAN, Patrick, BATAGELJ, Vladimir, FERLIGOJ, Anuška. Generalized blockmodeling, (Structural analysis in the social sciences, 25). Cambridge [etc.]: Cambridge University Press, 2005. XV, 384 p., ISBN 0-521-84085-6.

See Also

crit.fun and maybe also opt.par,opt.random.par,opt.these.par,check.these.par,plot.mat


[Package blockmodeling version 0.1.2 Index]