Barabasi & Albert, "Emergence of scaling in random networks" (arXiv)
8 korrents from this paper
In plain words
Networks keep growing by adding sites that link more often to the already well-linked ones, producing the same uneven connection pattern seen across many real systems. This shows the pattern comes from shared growth habits rather than the details of any one system. It offers a model of continuous expansion plus preference for popular sites that matches the distributions seen in real networks.
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Near this, by wording
- Frankle & Carbin, "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" (arXiv)
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Albert-László Barabási, Réka Albert did not write this page.
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