korrents

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Because two generic mechanisms reproduce the observed distributions, large networks are governed by self-organizing rules that do not depend on what the network is made of.

Drawn from what Réka Albert and Albert-László Barabási said

What this subject means

network science Why systems as different as a genome and the web share the same connection patterns.

Emergence

What they actually said

  1. Réka Albert Professor of physics and biology at Penn State A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems. Barabasi & Albert, "Emergence of scaling in random networks" (arXiv)arxiv.org · 21 Oct 1999All 8 korrents from this piece
    A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
  2. Albert-László Barabási Network scientist at Northeastern University A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems. Barabasi & Albert, "Emergence of scaling in random networks" (arXiv)arxiv.org · 21 Oct 1999All 8 korrents from this piece
    A model based on these two ingredients reproduces the observed stationary scale-free distributions, indicating that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.

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