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Lena Mangold

@lenamangold.bsky.social
112 followers 58 following 21 posts

Complex networks and computational social science. Postdoc at @invcomplexity.skewed.de (IT:U Austria) - formerly at @cams.ehess.fr (CNRS & EHESS). Once data scientist at UK Labour & Datasketch (Bogota). lenafm.github.io

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Reposted by Lena Mangold
Tiago Peixoto @tiago.skewed.de · 28/07/2026
The members of my group gifted my a t-shirt commemorating 20 years of @graph-tool.skewed.de (counting from the first commit in 2006 during my PhD)! 🎉 Time passes just way too fast. 👨‍🦳
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Reposted by Lena Mangold
Tiago Peixoto @tiago.skewed.de · 08/07/2026
Good news everyone! 🎉 The new version 3.0 of graph-tool is just out with major improvements! See below. graph-tool.skewed.de graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
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Reposted by Lena Mangold
Tiago Peixoto @tiago.skewed.de · 23/02/2026
New blog post: "Higher orders need higher standards" skewed.de/lab/posts/hi... I discuss our current work disentangling misconceptions around "higher-order" networks: arxiv.org/abs/2602.16937 Explainer thread for the paper here: bsky.app/profile/tiag...
skewed.de
Higher orders need higher standards – Inverse Complexity Lab
Research group on inverse problems in complex systems and network science.
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Lena Mangold @lenamangold.bsky.social · 04/09/2025
🎓 Short interview with me by the lovely people at @cams.ehess.fr , where I wrapped up my PhD this summer ✨ In 🇫🇷, with a longer version also available in 🇬🇧: shorturl.at/FjNRA
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Reposted by Lena Mangold
Inverse Complexity Lab @invcomplexity.skewed.de · 22/07/2025
New preprint: “Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides”, with @thomrobiglio.bsky.social, Martina Contisciani, @martonkarsai.bsky.social, arxiv.org/abs/2507.11503
arxiv.org
Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides
Migration is central in various societal problems related to socioeconomic development. While much of the existing research has focused on international migration, migration patterns within a single c...
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Reposted by Lena Mangold
Inverse Complexity Lab @invcomplexity.skewed.de · 08/08/2025
Last week we had our second “Inverse Complexity Lab Retreat” at wonderful Traunkirchen! skewed.de/lab/group.ht... Nothing like eldritch C++ incantations by the sunny lakeside! 🏖️
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Lena Mangold @lenamangold.bsky.social · 01/06/2025
Come join us tomorrow afternoon (2nd June) at WiNS @ NetSci: the future of Network Science (Location: FPN Tongeren zaal)! Keynotes by @asteixeira.bsky.social and @katyborner.bsky.social, followed by lightining talks / posters from the WiNS community :)
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Reposted by Lena Mangold
Women in Network Science (WiNS) Society @wins-society.bsky.social · 26/02/2025
🚨 Acceptance Decisions Are In! 🚨 We’ve finalized the acceptance decisions for the submissions received before the priority deadline. Make sure to check your inbox! ✨ We’re still accepting submissions on a rolling basis! Submit your abstract here: tinyurl.com/winsNetSci25
tinyurl.com
Google Forms: Sign-in
Access Google Forms with a personal Google account or Google Workspace account (for business use).
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Reposted by Lena Mangold
Women in Network Science (WiNS) Society @wins-society.bsky.social · 18/02/2025
📅 Don't miss out on our biweekly seminar series! Next Monday (Feb 24th, 11 AM ET), we'll have @gulsahakcakir.bsky.social from the University of California, Los Angeles. She’ll be presenting her work titled "Copy or Collaborate? Optimal Networks for Collective Problem Solving." See you all there!✨
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Lena Mangold @lenamangold.bsky.social · 17/02/2025
If you're an early-career network scientist and want to present your work (in progress) to a supportive and interdisciplinary audience: Priority deadline for the WiNS satellite at NetSci25 is today! 🚨
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Lena Mangold @lenamangold.bsky.social · 16/02/2025
WiNS is on Bluesky! Follow for updates on events, opportunities and new research ✨
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Lena Mangold @lenamangold.bsky.social · 10/02/2025
Cool new paper out by my colleagues on filter bubbles on music streaming platforms - go check it out :)
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Reposted by Lena Mangold
Elena Candellone @elenacandellone.bsky.social · 30/12/2024
Women in Network Science is hosting a half-day satellite at @netsciconf.bsky.social 2025 in Maastricht 🇳🇱! 🌟 Submit your abstract here: forms.gle/nEY4qWTnMuwL... Deadline: February 17th Full event details: sites.google.com/view/womenin... #NetSci2025 #WomenInNetworkScience
flyer of the satellite organized by Women in Network Science
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Lena Mangold @lenamangold.bsky.social · 19/11/2024
New paper out (with @camcom.bsky.social) 🥳 Want to understand how your network's metadata relate to its block structure? Check out our 'metablox' tool! @CommsPhys "Quantifying metadata relevance to network block structure using description length" 🧵(1/5) www.nature.com/articles/s42...
nature.com
Quantifying metadata relevance to network block structure using description length - Communications Physics
Network data often includes categorical node attributes whose relevance to the network’s structure is often unknown. Here the authors propose the metablox (metadata block structure exploration) tool, ...
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Reposted by Lena Mangold
Tiago Peixoto @tiago.skewed.de · 04/01/2024
New paper! “Scalable network reconstruction in subquadratic time” arxiv.org/abs/2401.01404 TL;DR: It's now possible to reconstruct huge networks from observational data using statistical inference. Explainer thread: 1/N
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Lena Mangold @lenamangold.bsky.social · 21/11/2023
First ever published paper (with @camcom.bsky.social ) seems like a good reason for a first post here :) "Generative models for two-ground-truth partitions in networks" 🧵 (1/6) journals.aps.org/pre/abstract...
journals.aps.org
Generative models for two-ground-truth partitions in networks
A myriad of approaches have been proposed to characterize the mesoscale structure of networks most often as a partition based on patterns variously called communities, blocks, or clusters. Clearly, di...
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