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 7 of 27 results social influence clear search
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 Complex Model of Voter Turnout
Bruce Edmonds Laurence Lessard-Phillips Ed Fieldhouse | Published Monday, October 13, 2014 | Last modified Tuesday, August 18, 2015This is a complex “Data Integration Model”, following a “KIDS” rather than a “KISS” methodology - guided by the available evidence. It looks at the complex mix of social processes that may determine why people vote or not.
A Simplified Model of Voter Turnout
Luis Lafuerza Louise Dyson Bruce Edmonds Alan J Mckane | Published Thursday, July 30, 2015This is a simplified version of a Complex Model of Voter Turnout by Edmonds et al.(2014). It was developed to better understand the mechanisms at play on that complex model.
Linear Threshold
Kaushik Sarkar | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013NetLogo implementation of Linear Threshold model of influence propagation.
DIAL is a model of group dynamics and opinion dynamics. It features dialogues, in which agents put their reputation at stake. Intra-group radicalisation of opinions appears to be an emergent phenomenon.
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.
Simulating the Cinema Market: How Cross-Cultural Differences in Social Influence Explain Box Office Distributions
Sebastiano Delre | Published Thursday, February 11, 2010 | Last modified Saturday, April 27, 2013This model simulates the motion picture industry and tests how social influences affect market shares. It is empirically validated at the micro level by a cross-cultural survey.
Displaying 7 of 27 results social influence clear search