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
This is a companion discussion topic for the original entry at https://www.comses.net/codebases/3dc265f6-7f26-46f8-abfd-3f8b26805829/releases/1.0.0