This repository includes code and replication instructions for my research article "Network structure and performance of crony capitalism systems" forthcoming in Public Choice.
The src directory includes five separate files with R functions, which are documented in the included manual.
The easiest way to use these files is to install the cronyNets package located in the builds folder. See installation instructions for R packages.
Alternatively, you can import these functions into a current R session:
source("src/cronyNets_Simulations.R")
source("src/cronyNets_SocietySetup.R")
source("src/cronyNets_NetworkStructures.R")
source("src/cronyNets_AttackSetup.R")
source("src/cronyNets_AttackSummary.R")
If you import these files, please make sure to meet these dependencies in advance: R (>= 3.1.0) , network, sna, parallel, doParallel, foreach, and iterators.
The main function to simulate predation attacks is cronyNets()
sim1 <- cronyNets(params.GRID, reps = 50)
The first argument params.GRID is a data frame created by this utility function:
societyParamsGrid <- function(numA, numG, ptie.max,
Cd = 100, rho.base = 1,
attack.mode = "rnd", attack.N = "single",
ptie.mode = "rnd", exog = 1, saveFile="simParams")
You can use the function cronysimple() to see the output from a single simulation that only requires the number of participants and a probability of G-A ties (e.g., 100 asset holders and 50 private enforcers with an affiliation probability of 0.05:
sim1 <- cronysimple(100,50,0.05)
The replicate folder includes three scripts to regenerate data and statistical analysis:
- societyParameters.R: This file creates a data frame with simulation parameters for 40,000 configurations that are saved in the data/paramsGrid.RData file
- predationSimulations.R: This file runs predation simulation on paramsGrid.RData configurations that generated the anaytic dataset in data/simData.RData
- networkAnalysis.R: this file estimates three statistical models, which are saved in the analysis directory as crony_net.RData
Note: simulations for this article were performed on a desktop computer running Ubuntu 18.04 LTS with an Intel(R) Xeon(R) CPU E5-2687W v2 @ 3.40GHz. The code relies heavily on a parallelized routine using the foreach package to use all available cores. To expedite simulations, you will need at least 16G RAM and Intel MKL for parallel mathematical computing.
Simulation code is made available as open source without warranties under an MIT License. If you use this code, either directly to modify for your own projects or to inspire an independent project, please use this citation:
Razo, Armando (2020), cronyNets: crony capitalism network simulations. R package version 1.0. URL=https://github.com/arazoNet/cronyNets.