Artwork

Santa Fe Institute에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Santa Fe Institute 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!

Mason Porter on Community Detection and Data Topology

1:22:19
 
공유
 

Manage episode 359923169 series 2557101
Santa Fe Institute에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Santa Fe Institute 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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, Mason A Porter, & Carolyn Parkinson

Community structure in social and biological networks
by Michelle Girvan & Mark Newman

The information theory of individuality
by David Krakauer, Nils Bertschinger, Eckehard Olbrich, Jessica C Flack, Nihat Ay

Social capital I: measurement and associations with economic mobility
by Raj Chetty, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert B. Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenburg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barberá, Monica Bhole & Nils Wernerfelt

Hierarchical structure and the prediction of missing links in networks
by Aaron Clauset, Cristopher Moore, M.E.J. Newman

Gregory Bateson (Wikipedia)

Complexity Ep. 99 - Alison Gopnik on Child Development, Elderhood, Caregiving, and A.I.

“Why Do We Sleep?”
by Van Savage & Geoffrey West at Aeon Magazine

Complexity Ep. 4 - Luis Bettencourt on The Science of Cities

Complexity Ep. 12 - Matthew Jackson on Social & Economic Networks

Complexity Ep. 68 - W. Brian Arthur on Economics in Nouns and Verbs (Part 1)

Complexity Ep. 100 - Dani Bassett & Perry Zurn on The Neuroscience & Philosophy of Curious Minds

  continue reading

113 에피소드

Artwork
icon공유
 
Manage episode 359923169 series 2557101
Santa Fe Institute에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Santa Fe Institute 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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, Mason A Porter, & Carolyn Parkinson

Community structure in social and biological networks
by Michelle Girvan & Mark Newman

The information theory of individuality
by David Krakauer, Nils Bertschinger, Eckehard Olbrich, Jessica C Flack, Nihat Ay

Social capital I: measurement and associations with economic mobility
by Raj Chetty, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert B. Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenburg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barberá, Monica Bhole & Nils Wernerfelt

Hierarchical structure and the prediction of missing links in networks
by Aaron Clauset, Cristopher Moore, M.E.J. Newman

Gregory Bateson (Wikipedia)

Complexity Ep. 99 - Alison Gopnik on Child Development, Elderhood, Caregiving, and A.I.

“Why Do We Sleep?”
by Van Savage & Geoffrey West at Aeon Magazine

Complexity Ep. 4 - Luis Bettencourt on The Science of Cities

Complexity Ep. 12 - Matthew Jackson on Social & Economic Networks

Complexity Ep. 68 - W. Brian Arthur on Economics in Nouns and Verbs (Part 1)

Complexity Ep. 100 - Dani Bassett & Perry Zurn on The Neuroscience & Philosophy of Curious Minds

  continue reading

113 에피소드

כל הפרקים

×
 
Loading …

플레이어 FM에 오신것을 환영합니다!

플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.

 

빠른 참조 가이드