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jgyou

@jgyou.bsky.social
1.8K followers 666 following 49 posts

Assistant professor of Statistics and Complex systems at UVM. Lab: joint-lab.github.io

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Reposted by jgyou
Network Science Society @netscisociety.bsky.social · 07/05/2026
It is our great pleasure to announce this year's Erdős-Rényi Prize winner! Laurent Hébert-Dufresne @lhd.bsky.social
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Ted Underwood @tedunderwood.com · 30/09/2025
Implementing “reasoning” as “just keep talking to yourself” feels so weird & hacky. But maybe not, according to this? They show that just-predicting-the-next-word is inherently unable to learn to solve some (permutation) problems unless you “pad” with extra thought tokens. arxiv.org/abs/2509.24125
In this technical note, we study the problem of inverse permutation learning in decoder-only transformers. Given a permutation and a string to which that permutation has been applied, the model is tasked with producing the original ("canonical") string. We argue that this task models a natural robustness property across a variety of reasoning tasks, including long-context retrieval, multiple choice QA and in-context learning. Our primary contribution is an impossibility result: we show that an arbitrary depth, decoder-only transformer cannot learn this task. This result concerns the expressive capacity of decoder-only transformer models and is agnostic to training dynamics or sample complexity. We give a pair of alternative constructions under which inverse permutation learning is feasible. The first of these highlights the fundamental role of the causal attention mask, and reveals a gap between the expressivity of encoder-decoder transformers and the more popular decoder-only architecture. The latter result is more surprising: we show that simply padding the input with "scratch tokens" yields a construction under which inverse permutation learning is possible. We conjecture that this may suggest an alternative mechanism by which chain-of-thought prompting or, more generally, intermediate "thinking" tokens can enable reasoning in large language models, even when these tokens encode no meaningful semantic information (e.g., the results of intermediate computations).
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arxiv cs.SI @arxiv-cs-si.bsky.social · 29/09/2025
Message passing for epidemiological interventions on networks with loops arxiv.org/abs/2509.21596
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jgyou @jgyou.bsky.social · 25/09/2025
Had missed this paper! It's great arxiv.org/abs/2502.01177
arxiv.org
Insights from Network Science can advance Deep Graph Learning
Deep graph learning and network science both analyze graphs but approach similar problems from different perspectives. Whereas network science focuses on models and measures that reveal the organizati...
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Ben Kawam @benkawam.bsky.social · 04/09/2025
Are you studying animal sociality? Confused about the "non-independence" of social network data: what on earth are they? are they threatening your results? should you attempt to get rid of them? A thread summarising a part of our new paper (ecoevorxiv.org/repository/v...).
ecoevorxiv.org
Five misunderstandings in animal social network analysis
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João Franco @okfranco.bsky.social · 01/09/2025
🎓 I've joined the PhD in Complex Systems & Data Science at @vcsi.bsky.social to work w/ @lhd.bsky.social & @juniperlov.bsky.social to explore social (complex) dynamics 🔬 Huge thanks to @joanagsa.bsky.social & Lília Perfeito for helping me get ready for this chapter 🚀 Excited for this next step!
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Daniel Redhead @danielredhead.bsky.social · 04/08/2025
🐒🕸️ New preprint! Confused about how to model animal social networks? ASNA can be confusing—but also full of opportunity. We break down 5 common misunderstandings in animal social network analysis and share solutions from behavioural ecology, anthro, stats, & network science. Hope it helps! A 🧵
ecoevorxiv.org
Five misunderstandings in animal social network analysis
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Daniel Redhead @danielredhead.bsky.social · 04/08/2025
All from an amazing interdisciplinary group 👥: @benkawam.bsky.social 🌟, @jgyou.bsky.social, Dan Franks, Connor Philson, Marijtje van Duijn, @jordanhart96.bsky.social, MB McElreath, @rmcelreath.bsky.social, @eapower.bsky.social, Cody Ross, @steglich.bsky.social, & @ljnbrent.bsky.social!
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Hiroki Sayama @hirokisayama.bsky.social · 04/06/2025
Leto Peel officially opens #NetSci2025, followed by Sonia Kefi's keynote
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jgyou @jgyou.bsky.social · 20/05/2025
And the code is live here: github.com/DynamicaLab/... With @allard.bsky.social and the never-online Simon Lizotte (but you can find him at siliz4.github.io)
github.com
GitHub - DynamicaLab/bigue: Bayesian inference of the hyperbolic plane embedding of complex networks.
Bayesian inference of the hyperbolic plane embedding of complex networks. - DynamicaLab/bigue
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Science of Health at Columbia University @cusciofhealth.bsky.social · 01/05/2025
Hear me discuss our new paper written with the inimitable Laurent Hébert-Dufresne and colleagues! @lhd.bsky.social #Complexity #Physiology #Governance www.nature.com/articles/s44...
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Laurent Hébert-Dufresne @lhd.bsky.social · 24/04/2025
On this day in 2023, the Vermont Complex Systems Institute (vermontcomplexsystems.org), TGIR Center (www.med.uvm.edu/tgircobre/home) & @sfiscience.bsky.social joined for an event on interacting contagions Our work, "One pathogen does not an epidemic make," is now online: arxiv.org/abs/2504.15053
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Sen Pei @senpei.bsky.social · 17/04/2025
So glad to have @jgyou.bsky.social give an intriguing lecture on contagion modeling and network inference in our network science class!
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Alec Kirkley @captainkirk1041.bsky.social · 05/04/2025
I've been guest editing a focus issue for Journal of Physics: Complexity with @jgyou.bsky.social, @gcant.bsky.social, and Cate De Bacco on Statistical Inference and Machine Learning for Complex Networks. See iopscience.iop.org/collections/..., and feel free to get in touch with any questions!
iopscience.iop.org
Focus Issue on Statistical Inference and Machine Learning for Complex Networks - IOPscienceSearch
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The Big Z @iamcurious.bsky.social · 13/03/2025
You should find that haircut again.
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Daryl Fairweather ⛅ @fairweatherphd.bsky.social · 11/03/2025
Hate The Game, the book, is only one month away! Pre-order yours anywhere books are sold. 📖✨ Freakonomics coauthor Steven Levitt called it “Fabulous—unlike any economics book I’ve ever read!
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jgyou @jgyou.bsky.social · 11/03/2025
We're excited to share our MAR10 day discounts! - $1 off of Mario's Time Machine - A free wallpaper
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Francisco Rodriguez-Sanchez @frodsan.bsky.social · 19/02/2025
1/ New paper @pnas.org on the structure of mutualistic #networks between individuals plants and frugivore species. Last chapter of @elequintero.bsky.social's PhD thesis doi.org/10.1073/pnas... #ecopubs
Downscaling mutualistic networks from species to individuals reveals consistent interaction niches and roles within plant populations

Species-level networks emerge as the combination of interactions spanning multiple individuals, and their study has received considerable attention over the past 30 y. However, less is known about the structure of interaction configurations within species, even though individuals are the actual interacting units in nature. We compiled 46 empirical, individual-based, interaction networks on plant-animal seed dispersal mutualisms, comprising 1,037 plant individuals across 29 species from various regions. We compared the structure of individual-based networks to that of species-based networks and, by extending the niche concept to interaction assemblages, we explored individual plant specialization. Using a Bayesian framework to account for uncertainty derived from sampling, we examined how plant individuals “explore” the interaction niche of their populations. Both individual-based and species-based networks exhibited high variability in network properties, lacking remarkable structural and topological differences between them. Within populations, frugivores’ interaction allocation among plant individuals was highly heterogeneous, with one to three frugivore species dominating interactions. Regardless of species or bioregion, plant individuals displayed a variety of interaction profiles across populations, with a consistently-small percentage of individuals playing a central role and exhibiting high diversity in their interaction assemblage. Plant populations showed variable mid to low levels of niche specialization; and individuals’ interaction niche “breadth” accounted for 70% of the population interaction diversity, on average. Our results highlight how downscaling from species to individual-based networks helps understanding the structuring of interactions within ecological communities.
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Alessandro Vespignani @alexvespi.bsky.social · 12/02/2025
Wastewater from airplane toilets? We introduce a global Aircraft-Based Wastewater Surveillance Network (WWSN) for pandemic monitoring in Nature Medicine 🔗 doi.org/10.1038/s415... Aircraft-based wastewater surveillance allows for real-time, non-invasive monitoring of global pathogen spread Short 🧵
doi.org
Pandemic monitoring with global aircraft-based wastewater surveillance networks - Nature Medicine
By simulating the implementation of airport-based wastewater surveillance sites at the global level, a modeling study shows how this early warning system would perform in identifying sources of pandem...
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Will Thompson @willthompson.bsky.social · 23/11/2024
On a similar note I got spoiled by Dr Watson in Julia. Is there a good Python equivalent?
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Andrew Mercer @awmercer.bsky.social · 14/01/2025
We are reaching the time of year when I start hearing from undergrads who are looking for summer internships. Obviously, they should all apply to Pew, but what other research orgs have internship programs that I can tell them about? What other opportunities can I share with them?
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Michael "Shapes Dude" Betancourt @betanalpha.bsky.social · 20/12/2024
Comparison may be a thief of joy, but it is an undoubtably interesting statistical modeling problem. In my latent chapter I go deep into the general problem of modeling comparisons between pairs of abstract items. HTML: betanalpha.github.io/assets/chapt... PDF: betanalpha.github.io/assets/chapt...
betanalpha.github.io
Pairwise Comparison Modeling
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Tim Waring @twaring.bsky.social · 17/12/2024
Fully-funded PhD position on the cultural evolution of environmental management! Link evolution, ecology and behavioral science to study how people manage environmental challenges in the ACE Lab (timwaring.info). Position Details: timwaring.info/wp-content/u...
timwaring.info
ACE Lab: Applied Cultural Evolution Laboratory
culture, evolution, cooperation, and sustainability
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jgyou @jgyou.bsky.social · 16/12/2024
I preemptively declare paper bankruptcy. Anything published on arXiv during the next 3 weeks will be permanently memory black holed.
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Laurent Hébert-Dufresne @lhd.bsky.social · 10/12/2024
A project with friends from the Vermont Complex Systems Institute @juniperlov.bsky.social @jstonge.bsky.social @nwlandry.bsky.social @jgyou.bsky.social Funded by an ambitious AUDACE project from friends and co-authors from Université de Sherbrooke. Started in the Green Mountains two years ago.
Fall retreat in Vermont where the project was started. Panorama with a field and hills in the distance.
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Sam Scarpino @scarpino.bsky.social · 26/11/2024
1/ Influenza wastewater activity levels are currently low across the US, aside from conspicuous areas in CA where #H5N1 is spreading in dairy cows. A deeper dive into the Wastewater Scan data paints a very concerning picture and should add to our sense of urgency.
Map shows the location of wastewater sampling locations around the US. Most of the sites indicate low levels and are colored blue. However, there are a number of sites in CA with high levels and few other scattered sites around the US with medium/high levels and are colored in orange/red
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Ricky @ricky.fm · 21/11/2024
what idiot called it async/await instead of wait/what
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Alex Thiery @alexxthiery.bsky.social · 20/11/2024
Gaussian approximation of a target distribution: mean-field versus full-covariance! Below shows a simple gradient descent on KL(q||p)
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Jonathan Edward Durham @thisone0verhere.bsky.social · 20/11/2024
Having a sides-only Thanksgiving this year. No turkey, just carbs and gravy. Modern problems require modern solutions.
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jgyou @jgyou.bsky.social · 19/11/2024
The DOGE should get rid of the NSF COA template and then fold
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jgyou @jgyou.bsky.social · 19/11/2024
I'm teaching Applied Probability and my cold take is that the standard normal is basically useless for practitioners in an age of R.
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Michael "Shapes Dude" Betancourt @betanalpha.bsky.social · 17/11/2024
Greetings recent followers. ┏┓ ┃┃╱╲ in ┃╱╱╲╲ this ╱╱╭╮╲╲ house ▔▏┗┛▕▔ we ╱▔▔▔▔▔▔▔▔▔▔╲ don't just talk about data generating processes; we actually model them and then critique our assumptions. ╱╱┏┳┓╭╮┏┳┓ ╲╲ ▔▏┗┻┛┃┃┗┻┛▕▔
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jgyou @jgyou.bsky.social · 17/11/2024
Québec indie game studios are killing it lately. Just in the past year or so, I've played three amazing games that *happened* to be from my hometown. Way to go!
Screenshot of Sea of Stars, an indie RPGScreenshot of Tape to Tape, an indie hockey-themed roguelikeScreenshot of Sea of Fools, an indie coop rogue like
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‏ deepfates @deepfates.com.deepfates.com.deepfates.com.deepfates.com.deepfates.com · 15/11/2024
Reminder that if you put stuff on Bluesky can be accessed by basically anybody in the world, and it's totally legal for other people to train on your data Even if the Bluesky team says they won't. Also AI is good actually
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jgyou @jgyou.bsky.social · 15/11/2024
I am reposting this here! I'm co-editing a focus Issue on "Statistical Inference and Machine Learning for Complex Networks" At the Journal of Physics Complexity. iopscience.iop.org/collections/... Feel free to get in touch if you have questions: jyoung22@uvm.edu.
iopscience.iop.org
IOPscience - Focus Issue on Statistical Inference and Machine Learning for Complex NetworksSearch
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Why @why.bsky.world · 14/11/2024
Features users want: - group DMs - custom notification filters - something about gifs Features we are prepared to deliver: - servers not going down under the load of most of twitter joining - some cute animations when you expand a picture in your feed
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NetSci 2026 @netsciconf.bsky.social · 12/11/2024
Want to contribute and help lead our community? NetSci 2025 is soliciting applications to its program committee! We especially encourage early career researchers to apply. forms.gle/98rhcJeoVVZG...
forms.gle
NetSci2025 Programme Committee form
Thank you for your interest in joining the NetSci 2025 Programme Committee. We are happy to welcome new members in our programme committee from a variety of fields and from different career stages. ...
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Aaron Clauset @aaronclauset.bsky.social · 11/11/2024
🚨 The Colorado Index of Complex Networks (icon.colorado.edu) is reborn! ICON 2.0 indexes 699 distinct research-quality network data sets, classified into 6 domains (Social, Biological, Information, Economic, Technology, Transportation) and 53 subdomains /1 #networkscience
Screenshot of the Index of Complex networks (icon.colorado.edu) website, showing histograms of the 699 network data sets it indexes, sizes of the networks, and their representation across subdomains. It's a nice, slick interface.
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Megan Brown @m-dot-brown.bsky.social · 01/11/2024
Excited to share a pre-print about web scraping for research! We're happy to receive feedback on how we frame this issue and try to build some paths forward for researchers. w/ @orangechair.org, Gabe Maldoff, @solmg.bsky.social, Zeve Sanderson, & @michaelzimmer.bsky.social arxiv.org/abs/2410.23432
arxiv.org
Web Scraping for Research: Legal, Ethical, Institutional, and Scientific Considerations
Scientists across disciplines often use data from the internet to conduct research, generating valuable insights about human behavior. However, as generative AI relying on massive text corpora becomes...
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jgyou @jgyou.bsky.social · 31/10/2024
Let's close these triads!
The image shows two diagrams, each featuring three circles labeled "A," "B," and "C," connected by lines.

Top Diagram: The circles labeled "A," "B," and "C" form a triangle, with "A" at the top vertex and "B" and "C" at the bottom two vertices. Lines connect "A" to both "B" and "C," but there is no direct line between "B" and "C."

Bottom Diagram: Similar to the top diagram, circles "A," "B," and "C" are arranged in a triangular formation. Here, however, lines connect each pair of circles—"A" to "B," "A" to "C," and "B" to "C"—forming a complete triangle.

The diagrams illustrate the difference between a partially connected and fully connected network of three nodes.
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jgyou @jgyou.bsky.social · 31/10/2024
Sharing the Vermont Complex Systems Institute starter pack! A list of core members, alumni, and external faculty 🤝 go.bsky.app/D46bnkS
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jgyou @jgyou.bsky.social · 31/10/2024
Watching StanCon videos -- Stan coming to the browser is super neat. www.youtube.com/watch?v=2Vl7...
youtube.com
Stan without installing Stan? How (and why) to sample inside your browser (Brian Ward)
YouTube video by Stan
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Adam L @adam-lg.bsky.social · 31/10/2024
"A tensor factorization model of multilayer network interdependence" - a multilayer stochastic blockmodel, with tensors! from @jugander.bsky.social and coauthors Paper: jmlr.org/papers/v25/2... Code: github.com/izabelaguiar... #stats #mlsky 📉📈
Multilayer networks account for the reality and variety of ways in which nodes
interact in a system. In this example, a social network is complexly defined by
three different types of social interaction and is represented by a tensor with three
frontal slices. In this example, the process generating the “spend time with” layer
is a linear combination of those processes generating the “family” and “friends”
layers. On the right, we see a visual representation of the nonnegative Tucker
decomposition of this network and how the third factor matrix accounts for these
linearly dependent layers.
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Bluesky @bsky.app · 24/10/2024
Bluesky now has 13M+ users, the @atproto.com developer ecosystem continues to grow, and we’ve shipped features like DMs and video! We’re excited to announce that we’ve raised a $15M Series A to continue growing the community, investing in Trust and Safety, and supporting the dev ecosystem.
bsky.social
Bluesky Announces Series A to Grow Network of 13M+ Users - Bluesky
Bluesky now exceeds 13 million users, the AT Protocol developer ecosystem continues to grow, and we’ve shipped highly requested features like direct messages and video.
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alex hayes @alexpghayes.com · 25/10/2024
Trying out one of these starter packs for statistics and data folks, with something of an academic lean! go.bsky.app/7TBN5rX
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Tiago Peixoto @tiago.skewed.de · 15/10/2024
🚨Job alert!🚨 Come join us at the Inverse Complexity Lab! @invcomplexity.bsky.social We’re hiring a post-doctoral researcher to join our group at IT:U, Linz, Austria. skewed.de/lab/call.html Deadline is 30 Nov 2024. 1/8
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Michele Tizzoni @mtizzoni.bsky.social · 14/10/2024
🥁 New paper out in Science Advances! 🥁 We present a novel mathematical framework to describe social contacts in epidemic models stratified by multiple dimensions. Big thanks to @netscience.bsky.social for leading a big effort! Check out the full paper here: www.science.org/doi/10.1126/...
science.org
Generalized contact matrices allow integrating socioeconomic variables into epidemic models
Generalized contact matrices allow integrating socioeconomic variables into epidemic models.
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jgyou @jgyou.bsky.social · 14/10/2024
Don't like the X vibes at all anymore, moving here mostly.
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jgyou @jgyou.bsky.social · 22/09/2024
Obligatory
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