This repository contains the R scripts and functions necessary for running an Agent-Based Modeling (ABM) simulation. The simulation explores the dynamics of information spread among agents within a network, considering various parameters like connectivity, influence rates, and the presence of a central hub. This project is ideal for those interested in network theory, social dynamics, or computational modeling.
Dependencies:
- R environment (Version 3.5.0 or later recommended).
- R packages: igraph, ggplot2, colorspace.
Setup Instructions:
- Clone or download the repository to your local machine.
- Install the required R packages using the following command in R:
install.packages(c("igraph", "ggplot2", "colorspace"))
The codebase is split into two main scripts: functions.R and simulate_and_plot.R.
This script contains all the essential functions for the simulation, including network creation, simulation execution, and data visualization. Functions include:
run_model: Executes the simulation model over a number of rounds.make_connections: Generates a connection matrix for the agent network.plot_history: Visualizes the history of agent states over simulation rounds.plot_graph: Creates a graph visualization of the agent network.
Responsible for running simulations under various conditions and visualizing the outcomes. Key components:
run_simulation: Sets up and executes the simulation with specific parameters.plot_results: Visualizes the simulation results in a comprehensive manner.
# Run a simulation where the hub has information and 30 connections
simulation_result1 <- run_simulation(TRUE, 30)
# Plot the results
plot_results(simulation_result1$connection_matrix, simulation_result1$history, alpha(rainbow(40), .25))