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.
Displaying 10 of 45 results adoption clear
Peer reviewed Torsten Hägerstrand’s Spatial Innovation Diffusion Model
Sean Bergin | Published Friday, September 14, 2012 | Last modified Saturday, April 27, 2013This model is a replication of Torsten Hägerstrand’s 1965 model–one of the earliest known calibrated and validated simulations with implicit “agent based” methodology.
Diffusion dynamics in small-world networks with heterogeneous consumers
Sebastiano Delre | Published Saturday, September 10, 2011 | Last modified Saturday, April 27, 2013This model simulates diffusion curves and it allows to test how social influence, network structure and consumer heterogeneity affect their spreads and their speeds.
A consumer-demand simulation for Smart Metering tariffs (Innovation Diffusion)
Martin Rixin | Published Thursday, August 18, 2011 | Last modified Saturday, April 27, 2013An Agent-based model simulates consumer demand for Smart Metering tariffs. It utilizes the Bass Diffusion Model and Rogers´s adopter categories. Integration of empirical census microdata enables a validated socio-economic background for each consumer.
A simplified Arthur & Polak logic circuit model of combinatory technology build-out via incremental development. Only some inventions trigger radical effects, suggesting they depend on whole interdependent systems rather than specific innovations.
An Agent-Based Model of Internet Diffusion Under General and Specific Network Externalities
Filiz Garip | Published Friday, April 27, 2012 | Last modified Saturday, April 27, 2013Using nodes from the 2002 General Social Survey sample, the code establishes a network of ties with a given homophily bias, and simulates Internet adoption rates in that network under three conditions: (i) no network externalities, (ii) general network externalities, where an individual’s reservation price is a function of the overall adoption rate in the network, (iii) specific network externalities, where reservation price is a function of the adoption rate in individual’s personal […]
TELL ME: protective behaviour in an epidemic
Jennifer Badham | Published Tuesday, February 10, 2015Models the connection between health agency communication, personal protective behaviour (eg vaccination, hand hygiene) and influenza transmission.
Adoption as a social marker
Paul Smaldino | Published Monday, October 17, 2016A model of innovation diffusion in a structured population with two groups who are averse to adopting a produce popular with the outgroup.
Homophily-driven Network Evolution and Diffusion
Mustafa Yavaş Gönenç Yücel | Published Thursday, January 08, 2015The model is an experimental ground to study the impact of network structure on diffusion. It allows to construct a social network that already has some measurable level of homophily, and simulate a diffusion process over this social network.
Universal Darwinism in Dutch Greenhouses
Julia Kasmire | Published Wednesday, May 09, 2012 | Last modified Saturday, April 27, 2013An ABM, derived from a case study and a series of surveys with greenhouse growers in the Westland, Netherlands. Experiments using this model showshow that the greenhouse horticulture industry displays diversity, adaptive complexity and an uneven distribution, which all suggest that the industry is an evolving system.
An Agent-Based DSS for Word-of-Mouth Programs in Freemium Apps
Manuel Chica | Published Monday, September 05, 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
Displaying 10 of 45 results adoption clear