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 5 of 135 results networks clear search
SONG - Simulation of Network Growth
D Levinson | Published Monday, August 29, 2011 | Last modified Saturday, April 27, 2013SONG is a simulator designed for simulating the process of transportation network growth.
Nudging agents in social networks for collective action
Marco Janssen | Published Sunday, August 14, 2011 | Last modified Sunday, March 17, 2019Agents are linked in a social-network and make decisions on which of 2 types of behavior to adopt. We explore consequences of different information feedback and providing targeted feedback to individuals.
NetCommons
Francisco Miguel Quesada | Published Wednesday, May 18, 2011 | Last modified Saturday, April 27, 2013NetCommons simulates a social dilemma process in case of step-level public goods. Is possible to generate (or load from DL format) any different networks, to change initial parameters, to replicate a number of experimental situations, and to obtain a event history database in CSV format with information about the context of each agents’ decision, the individual behavior and the aggregate outcomes.
Simulating Knowledge Dynamics in Innovation Networks
Nigel Gilbert | Published Wednesday, March 03, 2010 | Last modified Saturday, April 27, 20133.8 with Unis
Agent-based Modeling of Evolving Intergovernmental Networks
Sungho Lee | Published Thursday, January 29, 2009 | Last modified Saturday, April 27, 2013This agent-based model using ‘Blanche’ software provides policy-makers with a simulation-based demonstration illustrating how autonomous agents network and operate complementary systems in a decentral
Displaying 5 of 135 results networks clear search