About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
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Models associated with paper entitled "Polarization in Social Media: A Virtual Worlds-Based Approach"
Dennis Jacob Sven Banisch | Published Thursday, June 22, 2023This model contains MATLAB code describing the virtual worlds framework used in the paper entitled “Polarization in Social Media: A Virtual Worlds-Based Approach.” The parent directory contains driver code for replicating results from the paper. Additionally, the source code is structured by three directories:
- Data Structures: Contains classes and objects used in the code, such as the virtualWorlds.m
- Metrics: Contains code which computes metrics, such as congruentLinks.m
- Visualization: Contains code for generating pictures and plots, such as drawSystemState.m
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Bayesian Updating Opinion Shared Uncertainty Model.
Johnathan Adams | Published Monday, November 16, 2020 | Last modified Friday, May 14, 2021This is an opinion dynamics model which extends the model found in (Martins 2009). The previous model had an unshared uncertainty assumption in agent-to-agent interaction this model relaxes that assumption. The model only supports a fully connect network where every agent has an equal likelihood of interacting with every other agent at any given time step. The model is highly modular so different social network paradigm can easier be implemented.
Dynamics of Public Opinion with Diverse Media and Audiences' Choice
Zhongtian Chen | Published Sunday, April 25, 2021Studies on the fundamental role of diverse media in the evolution of public opinion can protect us from the spreading brainwashing, extremism, and terrorism. Many fear the information cocoon may result in polarization of the public opinion. The model of opinion dynamics that considers different influences and horizons for every individual, and the simulations are based on a real-world social network.
1984 social computation model
Harun Šiljak | Published Monday, September 30, 2019A system of nonlinear differential equations, modelled in MATLAB Simulink, simulating the world of George Orwell’s 1984.
Online Collaboration, Competing for Attention
Miles Manning | Published Wednesday, July 19, 2017 | Last modified Thursday, January 24, 2019This is a model of a community of online communities. Using mechanisms such as win-stay, lose-shift, and preferential attachment the model can reproduce similar patterns to those of the Stack Exchange network.
Peter Diamond's Coconut Model (Heterogeneity and Learning)
Sven Banisch Eckehard Olbrich | Published Monday, May 30, 2016Agent-based version of the simple search and barter economy conceived by Peter Diamond in 1982. The model is also known as Coconut Model.
An Agent-Based Model of Collective Action
Hai-Hua Hu | Published Tuesday, August 20, 2013We provide an agent-based model of collective action, informed by Granovetter (1978) and its replication model by Siegel (2009). We use the model to examine the role of ICTs in collective action under different cultural and political contexts.
Agent-based model of WiFi tracking system in urban environment
Christopher Thron Khoi Tran | Published Friday, April 21, 2017This code simulates the WiFi user tracking system described in: Thron et al., “Design and Simulation of Sensor Networks for Tracking Wifi Users in Outdoor Urban Environments”. Testbenches used to create the figures in the paper are included.