Albert-László Barabási
Robert Gray Dodge Professor of Network Science at Northeastern University; discovered scale-free networks and, with Reka Albert, proposed the Barabasi-Albert model.
Albert-László Barabási did not write this page. ppll compiled it from their own words, each linked to the source. Is this you? · Report a mistake
Latest x.com
What they believe
-
Systems as different as a genome and the web are best described as networks with complex topology rather than as ordered or random structures.
Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology.
arxiv.orgSaid 21 Oct 1999This on korrents
The bold line is korrents’ wording; the quote is theirs. These one: what they wrote before what they said aloud, one per source, newest first.
Beliefs
Korrents What they believe 4 beliefs — each backed by an exact quote.
Each is a — compiled by korrents.com, not by them: the one-line wordings are korrents', the quotes are theirs.
Recent
Systems as different as a genome and the web are best described as networks with complex topology rather than as ordered or random structures.
Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology.
Barabasi & Albert, "Emergence of scaling in random networks" (arXiv) Said 21 Oct 1999
Large real-world networks share one property: the number of connections per node follows a scale-free power law.
A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution.
Barabasi & Albert, "Emergence of scaling in random networks" (arXiv) Said 21 Oct 1999
Scale-free structure follows from just two mechanisms: networks keep adding nodes, and new nodes attach preferentially to well-connected ones.
This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites.
Barabasi & Albert, "Emergence of scaling in random networks" (arXiv) Said 21 Oct 1999
Show 1 more
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.
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) Said 21 Oct 1999
Beliefs others hold too
Systems as different as a genome and the web are best described as networks with complex topology rather than as ordered or random structures. 2 hold this
Systems as diverse as genetic networks or the world wide web are best described as networks with complex topology.
Barabasi & Albert, "Emergence of scaling in random networks" (arXiv) Said 21 Oct 1999
Large real-world networks share one property: the number of connections per node follows a scale-free power law. 2 hold this
A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution.
Barabasi & Albert, "Emergence of scaling in random networks" (arXiv) Said 21 Oct 1999
Scale-free structure follows from just two mechanisms: networks keep adding nodes, and new nodes attach preferentially to well-connected ones. 2 hold this
This feature is found to be a consequence of the two generic mechanisms that networks expand continuously by the addition of new vertices, and new vertices attach preferentially to already well connected sites.
Barabasi & Albert, "Emergence of scaling in random networks" (arXiv) Said 21 Oct 1999
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.
Where they publish
x.com @barabasi Notes on network science and his lab's work.
His own account, linked from the lab site he directs.
Recent
- Truly honored that @NatureAging featured our work (and art) on its cover! PDF here: https://t.co/AHR1woNJCO Thanks #TinaRosado and @gross62053 for the artwork. More about the paper here: 21 Jul 2026
- What does gender inequality in art institutions really looks like from the perspective of big data? In a new @NatureComms paper, we mapped exhibitions and auctions for 65,768 artists across 20,389 institutions, PDF at 12 Jul 2026
- Want the key takeaways from our recent Nature Aging paper on drug repurposing for longevity? Here’s a more digestible version: https://t.co/E9ADVqT8DD If you get inspired, PDF here: 30 Jun 2026 barabasi.com
Show 17 more
- Which existing drugs could slow aging? Our new @NatureAging paper finds that the #hallmarksofaging form distinct network modules, allowing us to identify drugs that can potentially slow specific aging hallmarks. PDF at 29 Jun 2026
- Honored to receive the Euler Award, the @netscisociety's highest recognition. It was particularly meaningful to receive at the 20th anniversary meeting of the @netscisociety surrounded by the students, postdocs, collaborators who made this possible. Let us continue the journey! 7 Jun 2026
- Open Postdoc Positions in Network Materials and Physical Networks (and perhaps Network Medicine and Science of Science). See https://t.co/vCahNzjgvg to learn more about the Lab’s profile. Contact me if interested, or apply here: https://t.co/1zSRqdVzuJ P: Puklus #NetSci2026 4 Jun 2026
- Does teleportation erase the laws of human mobility? In our new paper with @kishore__vasan & @MartonKarsai, we follow 163,770 Decentraland users and their NFT trajectories. The answer: virtual worlds carry the fingerprints of human mobility. PDF here: 28 May 2026
- Hungary’s chance to rebuild science: my editorial in Science is out today. https://t.co/w8c6Eh7aKZ Its message is simple: “If Hungary gets this right, it will offer a model that matters far beyond its borders.” 15 May 2026
- A special week: I had the privilege of seeing two outstanding Hungarian scientists I deeply admire—Katalin Karikó @kkariko and Réka Albert—inducted into the U.S. National Academy of Sciences in Washington DC. Join me in congratulating them both! @theNASciences 29 Apr 2026
- Join us-- Physical Network Satellite at @NetSciConf in Boston! 25 Apr 2026
- Speaking at NYU this Thursday, Feb 6, at 4:45, join me if interested in 'Network Science as a Falsifiable Discipline: From Graphs to Testable Laws' 3 Feb 2026 law.nyu.edu
- Congratulations Alex @alexvespi for the APS Award! Much deserved! 23 Jan 2026 news.northeastern.edu
- Speaking today at 10am EST/4pm EU about our Nature on String Theory and the Brain and the Lognormal Connectome. ...at the U of Cambridge Making connections- brains and other complex systems lecture, Sign up here to watch here: https://t.co/lxigtmZDjJ Photo by Peter Puklus 22 Jan 2026
- Our Nature paper just received 0/10 on Sabine Hossenfelder’s @skdh BS meter.” Yay! "After 40 years, string theory may have finally found its destiny: fruit fly neurons... Fruit flies in 10 dimensions. Go for it." 🎥 https://t.co/d5MKC8HfhS 📄 13 Jan 2026 barabasi.com
- More about our recent Nature. PDF here: https://t.co/lgBUAI2oP8 https://t.co/GCyzs87wkP? 11 Jan 2026
- From blood vessels to neurons, physical networks are modeled as wires optimized for length. In @Nature we how surface minimization, via a surprising link to string theory, explains brain and vascular architecture, including neuronal sprouting. Paper: 7 Jan 2026
- Just in time for the holidays: The Dark Matter of Food. 22 Dec 2025 nautil.us
- Network Medicine travels to Stockholm on Dec 5th: Join us in @karolinskainst! Speaking on: From Network Medicine to the Foodome 27 Nov 2025 news.ki.se
- This is today at noon, in costume @harvard or by zoom: From Physical Network to Network Materials 31 Oct 2025 events.seas.harvard.edu
- @NetSci2026 is coming to Boston! Yay! 🎉 3 Oct 2025
Link verified 9 Sept 2026. Recent items update automatically from the channel.
About the English under a post
Some people here publish in a language other than English. Where they do, this site shows a machine translation beneath the post, in this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the serif above is exactly what the person published, and it is what to quote them on. A translation can be wrong in ways that matter, especially about tone.
Only the post's own words are translated. A quoted post, a linked article and a belief on korrents.com are left in their original language.