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:Twitter • YouTube • Facebook • Instagram • LinkedInMentioned & Related Media:Bounded Confidence Models of Opinion Dynamics on NetworksSFI Seminar by Mason Porter (live Twitter coverage & YouTube stream recording)Communities in Networksby Mason Porter, Jukka-Pekka Onnela, & Peter MuchaSocial Structure of Facebook Networksby Amanda Traud, Peter Mucha, & Mason PorterCritical Truths About Power Lawsby Michael Stumpf & Mason PorterThe topology of databy Mason Porter, Michelle Feng, & Eleni KatiforiComplex networks with complex weightsby Lucas Böttcher & Mason A. PorterA Bounded-Confidence Model of Opinion Dynamics on Hypergraphsby Abigail Hicock, Yacoub Kureh, Heather Z. Brooks, Michelle Feng, & Mason PorterA multilayer network model of the coevolution of the spread of a disease and competing opinionsby Kaiyan Peng, Zheng Lu, Vanessa Lin, Michael Lindstrom, Christian Parkinson, Chuntian Wang, Andrea Bertozzi, & Mason PorterSocial network analysis for social neuroscientistsElisa C Baek, Mason A Porter, & Carolyn ParkinsonCommunity structure in social and biological networksby Michelle Girvan & Mark NewmanThe information theory of individualityby David Krakauer, Nils Bertschinger, Eckehard Olbrich, Jessica C Flack, Nihat AySocial capital I: measurement and associations with economic mobilityby 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 networksby Aaron Clauset, Cristopher Moore, M.E.J. NewmanGregory 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 Magazi