Computational Model Library

Agent-based Simulation of Innovation Diffusion (1.0.0)

The agent-based simulation of innovation diffusion is based on the idea of the Bass model (1969).

The adoption of an agent is driven two parameters: its innovativess p and its prospensity to conform with others. The model is designed for a computational experiment building up on the following four model variations:

(i) the agent population it fully connected and all agents share the same parameter values for p and q
(ii) the agent population it fully connected and agents are heterogeneous, i.e. individual parameter values are drawn from a normal distribution
(iii) the agents population is embeded in a social network and all agents share the same parameter values for p and q
(iv) the agents population is embeded in a social network agents are heterogeneous, i.e. individual parameter values are drawn from a normal distribution

Release Notes

Initial release

Associated Publications

Agent-based Simulation of Innovation Diffusion 1.0.0

The agent-based simulation of innovation diffusion is based on the idea of the Bass model (1969).

The adoption of an agent is driven two parameters: its innovativess p and its prospensity to conform with others. The model is designed for a computational experiment building up on the following four model variations:

(i) the agent population it fully connected and all agents share the same parameter values for p and q
(ii) the agent population it fully connected and agents are heterogeneous, i.e. individual parameter values are drawn from a normal distribution
(iii) the agents population is embeded in a social network and all agents share the same parameter values for p and q
(iv) the agents population is embeded in a social network agents are heterogeneous, i.e. individual parameter values are drawn from a normal distribution

Release Notes

Initial release

Version Submitter First published Last modified Status
1.0.0 Theresa Elbracht Mon May 19 08:53:06 2025 Mon May 19 08:53:08 2025 Published

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