= Albert-László Barabási
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<Albert-László Barabási> is a physicist known for work on <complex networks>. With <Réka Albert>, he introduced the <Barabási-Albert model>, in which a growing <graph> attaches new vertices preferentially to vertices with larger <degree>.<Emergence of scaling in random networks by Albert-László Barabási and Réka Albert>[1999, growth and preferential-attachment mechanism]{ref}
The central scientific idea is a mechanism, rather than merely a fitted curve: growth and degree-dependent attachment can create a broad degree distribution. This encouraged testing network formation rules against data and helped connect <graph theory> with <statistical mechanics>. The mechanism does not imply that every heavy-tailed real network follows that model.
Laboratory website: https://www.barabasi.com/
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