About the CoMSES Model Library more info
CoMSES Net maintains cyberinfrastructure to foster FAIR data principles for access to and (re)use of computational models. Model authors can publish their model code in the Computational Model Library with documentation, metadata, and data dependencies and support these FAIR data principles as well as best practices for software citation. Model authors can also request that their model code be peer reviewed 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 archive tutorial or contact us if you have any questions or concerns about archiving your model.
CoMSES Net also maintains a curated database of over 7500 publications of agent-based and individual based models with additional metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Agent-based model of WiFi tracking system in urban environment
Christopher Thron Khoi Tran | Published Fri Apr 21 05:32:17 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.
Comparing agent-based models on experimental data of irrigation games
Jacopo Baggio Marco Janssen | Published Tue Jul 2 18:26:39 2013 | Last modified Wed Jul 3 17:22:09 2013Comparing 7 alternative models of human behavior and assess their performance on a high resolution dataset based on individual behavior performance in laboratory experiments.
An Agent-Based DSS for Word-of-Mouth Programs in Freemium Apps
Manuel Chica | Published Mon Sep 5 09:06:28 2016An agent-based framework that aggregates social network-level individual interactions to run targeting and rewarding programs for a freemium social app. Git source code in https://bitbucket.org/mchserrano/socialdynamicsfreemiumapps
9 Maturity levels in Empirical Validation - An innovation diffusion example
Martin Rixin | Published Wed Oct 19 13:42:28 2011 | Last modified Sat Apr 27 20:18:17 2013Several taxonomies for empirical validation have been published. Our model integrates different methods to calibrate an innovation diffusion model, ranging from simple randomized input validation to complex calibration with the use of microdata.