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.
Peer reviewed Routes & Rumours 0.1.1
Martin Hinsch Jakub Bijak Oliver Reinhardt | Published Tue Jul 12 09:40:45 2022Routes & Rumours is an agent-based model of (forced) human migration. We model the formation of migration routes under the assumption that migrants have limited geographical knowledge concerning the transit area and rely to a large degree on information obtained from other migrants.
Seeding for information transmission in social networks
Beatrice Nöldeke Ulrike Grote Etti Winter | Published Tue Nov 3 07:45:04 2020This model simulates different seeding strategies for information diffusion in a social network adjusted to a case study area in rural Zambia. It systematically evaluates different criteria for seed selection (centrality measures and hierarchy), number of seeds, and interaction effects between seed selection criteria and set size.
Linear Threshold
Kaushik Sarkar | Published Sat Nov 3 06:57:06 2012 | Last modified Sat Apr 27 20:18:37 2013NetLogo implementation of Linear Threshold model of influence propagation.
Communication and social change in space and time
Sebastian Kluesener Francesco Scalone Martin Dribe | Published Tue May 17 10:30:29 2016 | Last modified Fri Oct 13 16:24:43 2017This agent-based model simulates the diffusion of a social change process stratified by social class in space and time which is solely driven social and spatial variation in communication links.