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 9 of 69 results Diffusion clear search
9 Maturity levels in Empirical Validation - An innovation diffusion example
Martin Rixin | Published Wednesday, October 19, 2011 | Last modified Saturday, April 27, 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.
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.
(Policy induced) Diffusion of Innovations - An integrated demand-supply Model based on Cournot Competition
Martin Rixin | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013Objective is to simulate policy interventions in an integrated demand-supply model. The underlying demand function links both sides. Diffusion proceeds if interactions distribute awareness (Epidemic effect) and rivalry reduces the market price (Probit effect). Endogeneity is given due to the fact that consumer awareness as well as their willingness-to-pay drives supply-side rivalry. Firm´s entry and exit decisions as well as quantity and price settings are driven by Cournot competition.
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.
An agent based simulation and data mining framework for scenario analysis of technology products
Moeed Haghnevis | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013The objective of this study is to create a framework to simulate and analyze the effect of multiple business scenarios on the adoption behavior of a group of technology products.
Agent Based Simulation of Technology Adoption
Moeed Haghnevis | Published Tuesday, December 07, 2010 | Last modified Saturday, April 27, 2013The purpose of this model is to study effect of a particular kind of spatial externality, “fashion effect”, on the dynamics of technology diffusion among rational adopters with uncertainty about the p
Alternative Fuel Design/Consumer Choice Model
Rosanna Garcia | Published Wednesday, September 22, 2010 | Last modified Saturday, April 27, 2013This is a model of the diffusion of alternative fuel vehicles based on manufacturer designs and consumer choices of those designs. It is written in Netlogo 4.0.3. Because it requires data to upload
Opinion Leaders' Role in Innovation Diffusion
Peter Van Eck | Published Wednesday, March 10, 2010 | Last modified Saturday, April 27, 2013This model is used to investigate the role of opinion leader. More specifically: the influence of ‘innovative behavior’, ‘weigth of normative influence’, ‘better product judgment’, ‘number of opinion
Evaluating Government's Policies on Promoting Smart Metering Diffusion in Retail Electricity Markets
Tao Zhang | Published Monday, December 07, 2009 | Last modified Saturday, April 27, 2013This model is a market game for evaluating the effectiveness of the UK government’s 2008-2010 policy on promoting smart metering in the UK retail electricity market. We break down the policy into four
Displaying 9 of 69 results Diffusion clear search