🔖 Emergence of Scaling in Random Networks by Albert-Laszlo Barabasi and Reka Albert | Science

Bookmarked Emergence of Scaling in Random Networks by Albert-László Barabási, Réka Albert (Science)
Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
h/t Disconnected, fragmented, or united? a trans-disciplinary review of network science by César A. Hidalgo (Applied Network Science | SpringerLink)

Published by

Chris Aldrich

I'm a biomedical and electrical engineer with interests in information theory, complexity, evolution, genetics, signal processing, IndieWeb, theoretical mathematics, and big history. I'm also a talent manager-producer-publisher in the entertainment industry with expertise in representation, distribution, finance, production, content delivery, and new media.

Leave a Reply

Your email address will not be published. Required fields are marked *

To respond to a post on this site using your own website, create your post making sure to include the (target) URL/permalink for my post in your response. Then enter the URL/permalink of your response in the (source) box and click the 'Ping me' button. Your response will appear (possibly after moderation) on my page. Want to update or remove your response? Update or delete your post and re-enter your post's URL again. (Learn More)