Innovation Diffusion Modeling using Agent-Based Simulation
Unofficial Python Implementation of "Maximizing the Spread of Influence through a Social Network"
A dual-architecture (Go+Python) Agent-Based Modeling framework for simulating new product diffusion in complex networks using Large Language Models (LLMs).
Bounded Confidence and Adoption Threshold (BCAT) simulation model for exploring the "best game no one played" phenomenon. Implementations in Python 3 and NetLogo 4.0.5.
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