Leto Peel

@piratepeel.bsky.social

A mighty pirate and undisciplined scientist. piratepeel.github.io

Use whatever abstraction you find more useful or convenient! We're not saying that hypergraphs are bad or useless. We're just criticizing the unfounded claim that they are required to represent multivariate interactions.

Very happy to be part of this project. My take on it is, hypergraph or network can describe the same systems and yield the same phenomena. The decision really comes down to if you want to work with matrices or higher-order tensors to explore these phenomena.

Leto Peel@piratepeel.bsky.social ยท 6mo ago

New preprint w/ @tiago.skewed.de, @manlius.bsky.social & @thilogross.bsky.social! Graph edges define the interaction domain โ€” functional form is free Hyperedges constrain by grouping nodes into subsets: special case, not a generalisation Multilayer graphs represent any hypergraph โ€” not vice versa

Maybe itโ€™s time we stop calling graphs โ€œpairwiseโ€. Multivariate coupling functions include HO interactions by design, hyperedges are optional. Under the order-decomposability assumption, the same node-level dynamics can be written as infinitely many equivalent multilayer (โ€œgaugeโ€) models. 1/

Tiago Peixoto@tiago.skewed.de ยท 6mo ago

New on the arxiv: โ€œGraphs are maximally expressive for higher-order interactionsโ€ arxiv.org/abs/2602.16937 We clarify central misconceptions in the recent literature on "higher-order networks". w/ @piratepeel.bsky.social , @manlius.bsky.social, and @thilogross.bsky.social Explainer ๐Ÿงต: 1/N

New preprint w/ @tiago.skewed.de, @manlius.bsky.social & @thilogross.bsky.social! Graph edges define the interaction domain โ€” functional form is free Hyperedges constrain by grouping nodes into subsets: special case, not a generalisation Multilayer graphs represent any hypergraph โ€” not vice versa

Tiago Peixoto@tiago.skewed.de ยท 6mo ago

New on the arxiv: โ€œGraphs are maximally expressive for higher-order interactionsโ€ arxiv.org/abs/2602.16937 We clarify central misconceptions in the recent literature on "higher-order networks". w/ @piratepeel.bsky.social , @manlius.bsky.social, and @thilogross.bsky.social Explainer ๐Ÿงต: 1/N

Out now: "Gender differences in collaboration and career progression in physics" we use collaboration #networks to identify differences between women and men in collaboration and career progression in physics. Work with Mingrong She, Jan Bachmann and Fariba Karimi.

Royal Society Publishing@royalsocietypublishing.org ยท 12mo ago

New #RSOS paper: Gender differences in collaboration and career progression in physics: royalsocietypublishing.org/doi/10.1098/... #GenderGap

๐Ÿ“ข ๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ๐—ฒ๐—ฟ ๐—”๐—ป๐—ป๐—ผ๐˜‚๐—ป๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ โ€“ ๐—ก๐—ฒ๐˜๐—ฆ๐—ฐ๐—ถ ๐—–๐—ผ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐Ÿ“ข Joseph Lizier, Associate Professor at the School of Computer Science at the University of Sydney. "Inferring network models from multivariate time-series data"

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Join us at NetSci 2025 in Maastricht for an essential session on academic publishing with Dillon Eastoe! Learn how to choose journals, navigate peer review, and make your research visible. ๐Ÿ“šโœจ

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