Daniel Kaiser

🚨🚨🚨 NetSci Hackathon PSA!!!

Are you at NetSci this year? Wanna come a day early and hack on a cool new dataset? Join our hackathon which will take place on May 31.

We have limited space, so please indicate your interest through our application form by Mar 13: www.philchodrow.prof/higher-order...

Revision now posted on the ArXiv! We collated and cleaned EVEN MORE DATA. 39M accounts, 365K starter packs, and 2.4B following relationships. All accounts, follows, and starter packs now have timestamps! Check it out at arxiv.org/abs/2505.11608.

The many faces of multivariate information Extracting higher-order structures from multivariate data has become an area of intensive study in complex systems science, as these multipartite interactions can reveal insights into fundamental feat...

New preprint on unifying the zoo of multivariate higher-order information measures into a common form.
May be of interest to anyone interested in higher-order interactions, complex systems, emergence, or complexity.
1/N
arxiv.org/abs/2601.08030

🚨🚨 New paper out! With @colltoaction.bsky.social, @fralotito.bsky.social, and a bunch of offline co-authors 🙂 we published "HIF: The hypergraph interchange format for higher-order networks" doi.org/10.1017/nws....

@felipexc.bsky.social presents @cna25.bsky.social our work on two new sparsification methods based on the distance backbone and triangular topology of networks. Relevant papers (some work not out yet):

doi.org/10.1088/2632...
doi.org/10.1088/2632...
doi.org/10.1371/jour...
doi.org/10.1093/comn...

I’m excited to speak at the 20th edition of @netsciconf.bsky.social! Honored to join speakers whose work I studied with fascination 20 years ago when I was just beginning. I’ll look forward to learning how the field has evolved, discovering new directions in network science, and meeting everyone!

Signed Networks: theory, methods, and applications Signed networks provide a principled framework for representing systems in which interactions are not merely present or absent but qualitatively distinct: friendly or antagonistic, supportive or confl...

Our team just released a comprehensive and accessible review of Signed Networks — two years in the making! Theory, methods, applications, all in one place. Feedback welcome.
arxiv.org/abs/2511.17247

The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems Author summary The problem of understanding when a set of interacting components of a complex systems produce behavior that is “greater than the sum of their parts" is foundational in many areas of mo...

🚨New paper! 🚨
"The topology of synergy: Linking topological and information-theoretic approaches to higher-order interactions in complex systems"
1/N
journals.plos.org/ploscompbiol...

Scale invariance and statistical significance in complex weighted networks Most networks encountered in nature, society, and technology have weighted edges, representing the strength of the interaction/association between their vertices. Randomizing the structure of a networ...

When you randomize a weighted network, be careful! Results may depend on the unit used for the weights, particularly when you want to know if they are statistically significant. Check our paper, just out on the arXiv. @skojaku.bsky.social @filipisilva.bsky.social
arxiv.org/abs/2510.23964

Information theory for complex systems scientists: What, why, and how In the 21st century, many of the crucial scientific and technical issues facing humanity can be understood as problems associated with understanding, …

It is finally out! Have you ever wanted to get into information theory, complexity, and networks? If so, this is the paper for you: a comprehensive tutorial review on information theory for complexity scientists specifically.

www.sciencedirect.com/science/arti...

This paper is now published on Network Science! 🎊
Open-access published version: doi.org/10.1017/nws....

(and the dataset is freely available!)
Menéame.net user interaction dataset: doi.org/10.5281/zeno...

@javiergbe.bsky.social
@abovet.bsky.social

Modeling resource consumption in the US air transportation system via minimum-cost percolation - Nature Communications Percolation frameworks have been used to characterize the robustness of infrastructural networks. Here, authors introduce a percolation-based framework to study resource consumption and network effect...

Q: How are resources consumed in transportation networks, and how does this shape the overall functioning of the system?

We introduce the minimum-cost percolation framework and apply it to the U.S. air transportation system using publicly available data.

🔗 www.nature.com/articles/s41...

You can find the code and instructions on GitHub at github.com/jackyeung99/...

🚨New(ish) paper alert!🚨We developed and implemented an efficient iterative ranking algorithm for multi-body competitions. This is the first paper from my former student Jack Yeung (LinkedIn: jackcyeung), I am immensely proud of the work he has put into this project!

journals.aps.org/pre/abstract...

🚨🚨 New preprint just dropped! In collaboration with @colltoaction.bsky.social, Cliff Joslyn, @fralotito.bsky.social, Audun Myers, Joshua Pickard, Brenda Praggastis, and Przemysław Szufel, we define a new data sharing standard for higher-order networks. arxiv.org/abs/2507.11520

HIF: The hypergraph interchange format for higher-order networks Many empirical systems contain complex interactions of arbitrary size, representing, for example, chemical reactions, social groups, co-authorship relationships, and ecological dependencies. These int...

HIF: The hypergraph interchange format for higher-order networks arxiv.org/abs/2507.11520

How does social network structure amplify or stifle behavior diffusion? Turns out, complex contagions are more complicated than we thought … (1/7)

BRAN Lab Bridging Minds, Behavior, and Society through Network Science

It’s happening.
BRAN Lab is here, my first research group.

We explore how and why we connect (and disconnect), using network science, signed networks, ML, and cognitive modeling: from minds to systems, humans to AI, mental health to epidemic prevention.

andreiasofiateixeira.com/branlab/

Here's another paper by Shalizi showing how inferring *latent* homophily allows for disentangling from contagion. Bizarre how this gets overlooked, since it's obvious that homophily leaves huge traces in the network structure, while contagion changes nothing.

www.tandfonline.com/doi/full/10....

Introducing: NVim-Lab. If you don't think you've achieved your maximum nerd-potential, NVim-Lab is a curated set of Neovim plugins and configurations designed to be a general scientific programming IDE. It has Python, Julia, R, and LaTeX support, REPLs, and notebooks.

github.com/thosvarley/n...

Yesterday I successfully defended my dissertation! 🥳 Thank you Dr. Filippo Radicchi for your guidance as my advisor over the years, your mentorship has been invaluable!

Next stop, University of Virginia with Dr. Nicholas Landry @nwlandry.bsky.social!

Paper alert! 🚨 We investigate Bluesky’s journey from an invitation only platform with a few thousands of users to reaching 30 million users in terms of user activity and network growth.

📄 Full paper: arxiv.org/abs/2504.12902
💻 Codes: github.com/osome-iu/ris...
💾 Dataset: zenodo.org/records/1506...

Modeling resource consumption in the US air transportation system via minimum-cost percolation We introduce a dynamic percolation model aimed at describing the consumption, and eventual exhaustion, of resources in transportation networks. In the model, rational agents progressively consume the ...

New Pre-print out 📝

We propose a minimum-cost percolation (MCP) framework to model resource consumption in transportation networks, applied to the US air system. Encouraging cooperation among air carriers can boost the system’s robustness to disruptions!

arXiv: arxiv.org/abs/2504.04245

I'm joining Binghamton University School of Computing as an assistant professor this Sep. I'm recruiting two PhD students to work on topics related to AI and information ecosystem. If you are interested in joining me, send your CV and a short statement of purpose to my email yang3kc@gmail.com

New release! Version 0.9.5 adds support for hyperedge line width. We also fixed an error in our random generative models and made some methods up to 4x faster (!!!) in the process. @kaiserdaniel.bsky.social also made his first contribution, fixing an error in the hypergraph Laplacian. Thanks Daniel!

New Year, New Job (in a few months) 🎉

I'm thrilled to share that I will be joining @nwlandry.bsky.social and The Landry Lab landry-lab.github.io at the University of Virginia as a post-doc this Summer! I'm looking forward to joining the lab and tackling many interesting problems together!