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COMPLEXITY - Mason Porter on Community Detection and Data Topology
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Mason Porter on Community Detection and Data Topology

04/05/23 • 82 min

2 Listeners

COMPLEXITY

One way of looking at the world reveals it as an interference pattern of dynamic, ever-changing links — relationships that grow and break in nested groups of multilayer networks. Identity can be defined by informational exchange between one cluster of relationships and any other. A kind of music starts to make itself apparent in the avalanche of data and new analytical approaches that a century of innovation has availed us. But just as with new music genres, it requires a trained ear to attune to unfamiliar order...what can we learn from network science and related general, abstract mathematical approaches to discovering this order in a flood of numbers?

Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I’m your host, Michael Garfield, and in every episode we bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.

This week we speak with SFI External Professor, UCLA mathematician Mason Porter (UCLA Website, Twitter, Google Scholar, Wikipedia), about his research on community detection in networks and the topology of data — going deep into a varied toolkit of approaches that help scientists disclose deep structures in the massive data-sets produced by modern life.

If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage.

I know it comes as a surprise, but this is our penultimate episode. Please stay tuned for one more show in May when SFI President David Krakauer and I will reflect on major themes and highlights from the last three-and-a-half years, and look forward to what I’ll be doing next! It’s been an honor and a pleasure to bring complex systems science to you in this way, and hope we stay in touch. I won’t be hard to find.

Thank you for listening.

Podcast theme music by Mitch Mignano.

Follow us on social media:
TwitterYouTubeFacebookInstagramLinkedIn

Mentioned & Related Media:

Bounded Confidence Models of Opinion Dynamics on Networks
SFI Seminar by Mason Porter (live Twitter coverage & YouTube stream recording)

Communities in Networks
by Mason Porter, Jukka-Pekka Onnela, & Peter Mucha

Social Structure of Facebook Networks
by Amanda Traud, Peter Mucha, & Mason Porter

Critical Truths About Power Laws
by Michael Stumpf & Mason Porter

The topology of data
by Mason Porter, Michelle Feng, & Eleni Katifori

Complex networks with complex weights
by Lucas Böttcher & Mason A. Porter

A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs
by Abigail Hicock, Yacoub Kureh, Heather Z. Brooks, Michelle Feng, & Mason Porter

A multilayer network model of the coevolution of the spread of a disease and competing opinions
by Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael Lindstrom, Christian Parkinson, Chuntian Wang, Andrea Bertozzi, & Mason Porter

Social network analysis for social neuroscientists
Elisa C Baek...

plus icon
bookmark

One way of looking at the world reveals it as an interference pattern of dynamic, ever-changing links — relationships that grow and break in nested groups of multilayer networks. Identity can be defined by informational exchange between one cluster of relationships and any other. A kind of music starts to make itself apparent in the avalanche of data and new analytical approaches that a century of innovation has availed us. But just as with new music genres, it requires a trained ear to attune to unfamiliar order...what can we learn from network science and related general, abstract mathematical approaches to discovering this order in a flood of numbers?

Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I’m your host, Michael Garfield, and in every episode we bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.

This week we speak with SFI External Professor, UCLA mathematician Mason Porter (UCLA Website, Twitter, Google Scholar, Wikipedia), about his research on community detection in networks and the topology of data — going deep into a varied toolkit of approaches that help scientists disclose deep structures in the massive data-sets produced by modern life.

If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify, and consider making a donation — or finding other ways to engage with us — at santafe.edu/engage.

I know it comes as a surprise, but this is our penultimate episode. Please stay tuned for one more show in May when SFI President David Krakauer and I will reflect on major themes and highlights from the last three-and-a-half years, and look forward to what I’ll be doing next! It’s been an honor and a pleasure to bring complex systems science to you in this way, and hope we stay in touch. I won’t be hard to find.

Thank you for listening.

Podcast theme music by Mitch Mignano.

Follow us on social media:
TwitterYouTubeFacebookInstagramLinkedIn

Mentioned & Related Media:

Bounded Confidence Models of Opinion Dynamics on Networks
SFI Seminar by Mason Porter (live Twitter coverage & YouTube stream recording)

Communities in Networks
by Mason Porter, Jukka-Pekka Onnela, & Peter Mucha

Social Structure of Facebook Networks
by Amanda Traud, Peter Mucha, & Mason Porter

Critical Truths About Power Laws
by Michael Stumpf & Mason Porter

The topology of data
by Mason Porter, Michelle Feng, & Eleni Katifori

Complex networks with complex weights
by Lucas Böttcher & Mason A. Porter

A Bounded-Confidence Model of Opinion Dynamics on Hypergraphs
by Abigail Hicock, Yacoub Kureh, Heather Z. Brooks, Michelle Feng, & Mason Porter

A multilayer network model of the coevolution of the spread of a disease and competing opinions
by Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael Lindstrom, Christian Parkinson, Chuntian Wang, Andrea Bertozzi, & Mason Porter

Social network analysis for social neuroscientists
Elisa C Baek...

Previous Episode

undefined - Andrea Wulf on Magnificent Rebels: The First Romantics and The Invention of The Self

Andrea Wulf on Magnificent Rebels: The First Romantics and The Invention of The Self

For centuries, Medieval life in Europe meant a world determined and prescribed by church and royalty. The social sphere was very much a pyramid, and everybody had to answer to and fit within the schemes of those on top. And then, on wings of reason, Modern selves emerged to scrutinize these systems and at great cost swap them for others that more evenly distribute power and authority. Cosmic forces preordained one’s role within a transcendental order...but then, across quick decades of upheaval, philosophy and politics started celebrating self-determination and free will. Art and science blossomed as they wove together. Nothing was ever the same.

Welcome to COMPLEXITY, the official podcast of the Santa Fe Institute. I’m your host, Michael Garfield, and every other week we’ll bring you with us for far-ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe.

This week we engage with returning guest, New York Times best-selling author of seven books and SFI Miller Scholar Andrea Wulf, about her latest lovingly-detailed long work, Magnificent Rebels: The First Romantics and The Invention of The Self. In this episode we explore the conditions for an 18th century revolution in philosophy, science, literature, and lifestyle springing from Jena, Germany. Over just a few years, an extraordinary confluence of history-making figures such as Goethe, Schelling, Schlegel, Hegel, and Novalis helped rewrite what was possible for human thought and action. Admist a landscape of political revolt, this braid of brilliant friends and enemies and lovers altered what it means to be a self and how the modern self relates to everything it isn’t, inspiring later British and American Romantic movements. Arguing for art and the imagination in the work of science and infusing art with reason, Jena’s rebels of the mind lived bold, iconoclastic lives that seem 200 years ahead in retrospect. We stand to learn a great deal from a careful look at Jena and the first Romantics...maybe even how to replicate their great successes and avoid their self-implosion in the face of social turbulence.

If you value our research and communication efforts, Please subscribe to Complexity Podcast wherever you prefer to listen, rate and review us at Apple Podcasts, and/or consider making a donation at santafe.edu/podcastgive. You can find numerous other ways to engage with us at santafe.edu/engage — in particular, you may wish to celebrate ten years of free online courses at Complexity Explorer with SFI Professor Cris Moore’s Computation in Complex Systems, starting March 28th. Learn more in the show notes...and thank you for listening!

Podcast theme music by Mitch Mignano.

Follow us on social media:
TwitterYouTubeFacebookInstagramLinkedIn

Related Reading & Listening:

Episode 60 - Andrea Wulf on The Invention of Nature, Part 1: Humboldt's Naturegemälde

Episode 61 - Andrea Wulf on The Invention of Nature, Part 2: Humboldt's Dangerous Idea

The Invention of Nature: Alexander von Humboldt’s New World
by Andrea Wulf

Magnificent Rebels: The First Romantics and The Invention of The Self
by Andrea Wulf

Common As Air: Revolution, Art, and Ownership
by Lewis Hyde

Episode 37 - The Art & Science of Resilience in the Wake of Trauma with Laurence Gonzales...

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Episode Title and Show Notes:

106 - Michael Garfield & David Krakauer on Evolution, Information, and Jurassic Park

Welcome to Complexity, the official podcast of the Santa Fe Institute. I'm Michael Garfield, producer of this show and host for the last 105 episodes. Since October, 2019, we have brought you with us for far ranging conversations with our worldwide network of rigorous researchers developing new frameworks to explain the deepest mysteries of the universe. Today I step down and depart from SFI with one final appearance as the guest of this episode. Our guest host is SFI President David Krakauer, he and I will braid together with nine other conversations from the archives in a retrospective masterclass on how this podcast traced the contours of complexity. We'll look back on episodes with David, Brian Arthur, Geoffrey West, Doyne Farmer, Deborah Gordon, Tyler Marghetis, Simon DeDeo, Caleb Scharf, and Alison Gopnik to thread some of the show's key themes through into windmills and white whales, SFI pursues, and my own life's persistent greatest questions.

We'll ask about the implications of a world transformed by science and technology by deeper understanding and prediction and the ever-present knock-on consequences. If you value our research and communication efforts, please subscribe, rate and review us at Apple Podcasts or Spotify and consider making a donation or finding other ways to engage with SFI at Santa fe.edu/engage. Thank you each and all for listening. It's been a pleasure and an honor to take you offroad with us over these last years.

Follow SFI on social media: TwitterYouTubeFacebookInstagramLinkedIn

📚Reading & Videos:

The Lost World
by Michael Crichton

Jurassic Park
by Michael Crichton

The Evolution of Syntactic Communication
by Martin Nowak, Joshua Plotkin, and Vincent Jansen

InterPlanetary Festival 2018 + SFI Science Explainer Animations
by SFI

Complexity Economics
by SFI Press

Supertheories and Consilience from Alchemy to Electromagnetism
by Simon DeDeo (2019 SFI Seminar)

How To Live in The Future, Part 4: The Future is Exapted/Remixed
by Michael Garfield

Artists Misusing Technology
by NXT Museum

The Collapse of Artificial Intelligence
by Melanie Mitchell (2019 SFI Symposium Talk)

The Debate Over Understanding in AI's Large Language Models
by Melanie Mitchell & David Krakauer

Welcome To Jurassic Park
by Tink Zorg
(re: COVID-19 and the collapse of supply chains)

Smarter Parts Make Collective Systems Too Stubborn
by Jordana Cepelewicz at Quanta Magazine
(re: Albert Kao)

Coarse-graining as a downward causation mechanism
by Jessica Flack

Argument Making In The Wild
by Simon DeDeo
(SFI Seminar re: egregores)

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