Computational Model Library

Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.

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 feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.

Displaying 5 of 35 results social influence clear search

Linear Threshold

Kaushik Sarkar | Published Saturday, November 03, 2012 | Last modified Saturday, April 27, 2013

NetLogo implementation of Linear Threshold model of influence propagation.

Will it spread or not? The effects of social influences and network topology on innovation diffusion

Sebastiano Delre | Published Monday, October 24, 2011 | Last modified Saturday, April 27, 2013

This models simulates innovation diffusion curves and it tests the effects of the degree and the direction of social influences. This model replicates, extends and departs from classical percolation models.

Diffusion dynamics in small-world networks with heterogeneous consumers

Sebastiano Delre | Published Saturday, September 10, 2011 | Last modified Saturday, April 27, 2013

This model simulates diffusion curves and it allows to test how social influence, network structure and consumer heterogeneity affect their spreads and their speeds.

Nudging agents in social networks for collective action

Marco Janssen | Published Sunday, August 14, 2011 | Last modified Sunday, March 17, 2019

Agents 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.

This 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 5 of 35 results social influence clear search

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