korrents

network science

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

FilterEveryone, all time13 from 7 people
Who Everyone ABAlbert-László Barabási 4 RARéka Albert 4 BCBen Carlson 1 BGBill Gurley 1 MKMike Krieger 1 NQNabeel S. Qureshi 1 VRVenkatesh Rao 1
When All time Past 1 yearPast 3 yearsPast 5 years
  1. BC

    Ben Carlson quoted

    Director of institutional asset management at Ritholtz…

    Our readingVenture capital investing is a power-law strategy where a small number of big winners are expected to make up for many losses.

    startupsdesignventure capitalinvesting

    Their wordsVenture capital is a power law strategy by design. The hope is 1-2 big winners make up for all of the other losers.

    ↗Can You Be a Boglehead Tech Investor?awealthofcommonsense.com 1st of 3 in this piece

  2. 2 weeks earlier
  3. MK

    Mike Krieger quoted

    Works in Anthropic Labs; co-founder of Instagram

    Our readingTab usage in a product follows a very strong power law.

    Their wordsthere's a very strong power law in tab usage.

    ↗Why Claude can’t be your PM (yet) | Anthropic CPO Panel (Lenny & Friends Summit, San Francisco, 10 September 2026)youtube.com 18th of 19 in this recording

  4. 10 days earlier
  5. VR

    Venkatesh Rao quoted

    Writer and consultant on technology

    Our readingA system built from ordinary, mundane components can still give rise to genuine higher-level collective organization, as with ant colonies and pheromone chemistry.

    Their wordsThe fact that the substrate is mundane does not establish that the higher-level organization is mundane. Pheromone chemistry does not make ant-colony trail formation merely a chemical spill.

    ↗Walter Mitty Effects in AI Incident Analysescontraptions.venkateshrao.com 2nd of 3 in this piece

  6. 3 months earlier
  7. BG

    Bill Gurley quoted

    General partner at Benchmark Capital for over two decades

    Our readingInvestors have collectively absorbed the idea of increasing returns and power laws, and that belief is what makes them take ever more risk.

    investing

    Their wordsthe investor community writ large has slowly become aware of and believes it strongly in increasing returns and power laws. And so over time, if they all believe that, they're going to be more willing to invest on the come and take risk.

    ↗Mental Models That Change How You Think | Bill Gurleyyoutube.com 8th of 16 in this recording

  8. 3 years earlier
  9. NQ

    by

    Nabeel S. Qureshi quoted

    Entrepreneur and essayist

    Our readingOutcomes follow power laws, and outlier math rules all.

    Their wordsUnderstand power laws. Outlier math rules all.

    ↗Principlesnabeelqu.co

  10. 24 years earlier
  11. AB

    Albert-László Barabási quoted

    Network scientist at Northeastern University

    Our readingSystems as different as a genome and the web are best described as networks with complex topology rather than as ordered or random structures.

    Their wordsSystems 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)arxiv.org All 8 from this paper

  13. RA

    Réka Albert quoted

    Professor of physics and biology at Penn State

    Our readingSystems as different as a genome and the web are best described as networks with complex topology rather than as ordered or random structures.

    Their wordsSystems 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)arxiv.org All 8 from this paper

  15. AB

    Albert-László Barabási quoted

    Our readingLarge real-world networks share one property: the number of connections per node follows a scale-free power law.

    Their wordsA 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)arxiv.org All 8 from this paper

  17. RA

    Réka Albert quoted

    Our readingLarge real-world networks share one property: the number of connections per node follows a scale-free power law.

    Their wordsA 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)arxiv.org All 8 from this paper

  19. AB

    Albert-László Barabási quoted

    Our readingScale-free structure follows from just two mechanisms: networks keep adding nodes, and new nodes attach preferentially to well-connected ones.

    Their wordsThis 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)arxiv.org All 8 from this paper

  21. RA

    Réka Albert quoted

    Our readingScale-free structure follows from just two mechanisms: networks keep adding nodes, and new nodes attach preferentially to well-connected ones.

    Their wordsThis 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)arxiv.org All 8 from this paper

  23. AB

    Albert-László Barabási quoted

    Our readingBecause 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.

    Their wordsA 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 All 8 from this paper

  25. RA

    Réka Albert quoted

    Our readingBecause 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.

    Their wordsA 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 All 8 from this paper