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nemBM
View on CRAN: Click
here
Download and install nemBM package within the R console
Install from CRAN:
install.packages("nemBM")
Install from Github:
library("remotes")
install_github("cran/nemBM")
Install by package version:
library("remotes")
install_version("nemBM", "1.00.01")
Attach the package and use:
library("nemBM")
Maintained by
Marjan Cugmas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-13
Latest Update: 2022-12-14
Description:
To study network evolution models and different blockmodeling approaches. Various functions enable generating (temporal) networks with a selected blockmodel type, taking into account selected local network mechanisms. The development of this package is financially supported the Slovenian Research Agency (www.arrs.gov.si) within the research program P5<96>0168 and the research project J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).
How to cite:
Marjan Cugmas (2022). nemBM: Using Network Evolution Models to Generate Networks with Selected Blockmodel Type. R package version 1.00.01, https://cran.r-project.org/web/packages/nemBM. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.00.00 (2022-12-13 14:10)
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Other R packages that nemBM depends,
imports, suggests or enhances
Complete documentation for nemBM
Functions, R codes and Examples using
the nemBM R package
Some associated functions: OSPtransitivity . OTPtransitivity . RL . SSEblock . WeightedNetworkStatistics . assortativity . chooseBlockRow . genNetworkLE . globalDensity . mutuality . nem . nemBM . nemSym . nemSymBMinout . normalizeRsphere . popularity . randomizePartition .
Some associated R codes: OSPtransitivity.R . OTPtransitivity.R . RL.R . SSEblock.R . WeightedNetworkStatistics.R . assortativity.R . chooseBlockRow.R . genNetworkLE.R . globalDensity.R . mutuality.R . nem.R . nemBM.R . nemSym.R . nemSymBMinout.R . normalizeRsphere.R . popularity.R . randomizePartition.R . Full nemBM package functions and examples
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