In this podcast the author explains a paper to me, your host, Professor Sune Lehmann (https://sunelehmann.com). The participants are authors of a paper in network science or data science. Sometimes I feature a group of co-authors! The intended audience is PhD students, PostDocs and other scientists. The idea is to start with a bit about the paper's author, the idea for the paper. Then talk about the research itself. And we’ll end by gossiping about the reviewing process, etc. The whole thing is based on the idea that papers are so formal. And that when two people talk to each other informally, it’s often more fun – and tends to get ideas across more effectively.
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episode 5: Too Lazy to Read the Paper: Episode 5 with Renaud Lambiotte
Today’s guest is Renaud Lambiotte
Renaud is an associate professor at the Mathematical Institute of Oxford University, investigating processes taking place on large networks.
In the episode, we talk about his story in science, the joy and value of exploring without a particular purpose, doing a PhD without publishing any papers, … and how reading classical texts by Boltzman and others early on has shaped the work Renaud does even to this day.
When we get to the paper, we talk about Renaud’s recent work “Variance and covariance of distributions on graphs” (1) with co-authors Karel Devriendt and Samuel Martin-Gutierrez.
#Timestamps
[0:00:00] Intro to today's episode
[0:00:59] Friendly banter, and being in awe of Mark Newman
[0:07:00] Renaud's story
[0:28:38] The Louvain Algorithm t-shirt
[0:34:00] Now to discuss the paper!
# Credits
The podcast has theme music by Waylon Thornton. Songs are "American Heart" and "Seven". Via freemusicarchive.org and licenced under CC BY-NC-SA. The podcast was funded in part by the Villum Foundation.
# References
(1) https://arxiv.org/abs/2008.09155