= Barabási–Albert model
{wiki=Barabási–Albert_model}
The Barabási–Albert (BA) model is a preferential attachment model for generating scale-free networks, which are networks characterized by a degree distribution that follows a power law. This model was proposed by Albert-László Barabási and Réka Albert in their seminal 1999 paper. \#\#\# Key Features of the Barabási–Albert Model: 1. **Network Growth**: The BA model creates networks by starting with a small number of connected nodes and adding new nodes over time.
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