Mason Porter on Community Detection and Data Topology

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

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Mason Porter on Community Detection and Data Topology is an episode from COMPLEXITY by Santa Fe Institute.

This episode is 01:22:19 long.

This episode was published on Apr 5, 2023.

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