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.
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.
Model of the social game associated to the production of potato seeds in a Venezuelan region
Oswaldo Terán Ravi Rojas Liccia Romero Christhophe Sibertin-Blanc Lisbeth Alarcón | Published Mon Apr 27 17:59:51 2015 | Last modified Sun Nov 22 14:02:07 2015This work aims at describing and simulating the (social) game around the production of potato seeds in Venezuela. It shows the effect of the identification of some actors with the production of native potato seeds (e.g., Venezuelan State´s low ident)
Mast seeding model
Lucia Tamburino Giangiacomo Bravo | Published Sat Sep 8 05:54:44 2012 | Last modified Sat Apr 27 20:18:37 2013Purpose of the model is to perform a “virtual experiment” to test the predator satiation hypothesis, advanced in literature to explain the mast seeding phenomenon.
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.
The various technologies used inside a Dutch greenhouse interact in combination with an external climate, resulting in an emergent internal climate, which contributes to the final productivity of the greenhouse. This model examines how differing technology development styles affects the overall ability of a community of growers to approach the theoretical maximum yield.