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lenamangold.bsky.social
Lena Mangold
@lenamangold.bsky.social
100 followers 57 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). https://lenafm.github.io/
lenafm.github.io
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Sep 4
🎓 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
cams.ehess.fr
CAMS @cams.ehess.fr · Sep 1
🔎 Découvrez l’interview de Lena Mangold, jeune docteure de l’EHESS (CAMS), qui vient de débuter un postdoctorat au sein de l’Inverse Complexity Lab (IT:U, Austria) !
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Reposted by Lena Mangold
invcomplexity.skewed.de
Inverse Complexity Lab @invcomplexity.skewed.de · Jul 22
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
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...
arxiv.org
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Reposted by Lena Mangold
invcomplexity.skewed.de
Inverse Complexity Lab @invcomplexity.skewed.de · Aug 8
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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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Jun 1
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 :)
wins-society.bsky.social
Women in Network Science (WiNS) Society @wins-society.bsky.social · May 30
Only 2 more days to go until our satellite at @netsciconf.bsky.social 🎉
Come for the Pathways talks by Katy Börner and Andreia Sofia Teixeira stay for all the latest WiNS research 🔍
Details here: tinyurl.com/4BJWTMWJ
Everyone’s welcome — we can’t wait to see you there! ✨
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Reposted by Lena Mangold
wins-society.bsky.social
Women in Network Science (WiNS) Society @wins-society.bsky.social · Feb 26
🚨 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
Google Forms: Sign-in
Access Google Forms with a personal Google account or Google Workspace account (for business use).
tinyurl.com
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Reposted by Lena Mangold
wins-society.bsky.social
Women in Network Science (WiNS) Society @wins-society.bsky.social · Feb 18
📅 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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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Feb 17
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! 🚨
wins-society.bsky.social
Women in Network Science (WiNS) Society @wins-society.bsky.social · Feb 16
🚨 Priority Deadline TOMORROW! 🚨

WiNS is hosting a half-day satellite at NetSci 2025 (@netsciconf.bsky.social) in Maastricht!

Submit your abstract here:
forms.gle/nEY4qWTnMuwL...
Deadline: February 17th
Full event details:
sites.google.com/view/womenin...
#NetSci2025 #WomenInNetworkScience
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Feb 16
WiNS is on Bluesky! Follow for updates on events, opportunities and new research ✨
wins-society.bsky.social
Women in Network Science (WiNS) Society @wins-society.bsky.social · Feb 16
🚀 We’re officially on Bluesky! 💙 The Women in Network Science (WiNS) Society connects and supports network scientists who identify as underrepresented genders in the field. Follow us for updates on events, opportunities, and exciting research from our community!
#NetworkScience #WiNS
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Feb 10
Cool new paper out by my colleagues on filter bubbles on music streaming platforms - go check it out :)
dougalshakes.bsky.social
Dougal Shakespeare @dougalshakes.bsky.social · Feb 10
New paper out (with @camcom.bsky.social & Victor Chareyron).
"Reframing the filter bubble through diverse scale effects in online music consumption" 🎵 📲 (1/5)

www.nature.com/articles/s41...
Reframing the filter bubble through diverse scale effects in online music consumption - Scientific Reports
Scientific Reports - Reframing the filter bubble through diverse scale effects in online music consumption
www.nature.com
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Reposted by Lena Mangold
elenacandellone.bsky.social
Elena Candellone @elenacandellone.bsky.social · Dec 30
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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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 19
Check out the code on our repository! (5/5)

github.com/lenafm/metab...
GitHub - lenafm/metablox: metablox - a Python library for metadata block structure exploration in networks
metablox - a Python library for metadata block structure exploration in networks - lenafm/metablox
github.com
lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 19
We showcase how metablox works on a number of synthetic and empirical networks, and that it can be used in comparative settings: if you have an entire collection of networks with shared metadata OR a network with multiple sets of categorical metadata. (4/5)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 19
In our paper, we introduce the metablox tool, to quantify the strength and type of relationship between categorical node metadata and the block structure of a network (using Stochastic block models and description length). (3/5)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 19
Different sets of node metadata may (a) relate to a network’s block structure to varying degrees, and (b) resemble different types of arrangements, such as community structure or core-periphery structure! (2/5)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 19
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...
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, ...
www.nature.com
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Reposted by Lena Mangold
tiago.skewed.de
Tiago Peixoto @tiago.skewed.de · Jan 4
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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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 21
Our model serves as a benchmark for future research, to gauge how mesoscale structure detection algorithms deal with mesoscale ambiguity + we emphasise the importance of considering coexisting structures. (6/6)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 21
In our experimental set-up, the coexistence of the two partitions was only detected in a small number of cases — mostly one (dominating) structure was preferred! (5/6)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 21
We showcase the SCBM by generating networks with coexisting bi-community and core-periphery structure (with varying ‘structural strength’) and we explore how well they are picked up by different SBM variants. (4/6)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 21
We introduce the Stochastic Cross-Block Model (SCBM), a generative framework for networks with multiple coexisting ground-truth partitions. (3/6)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 21
Real networks often feature multiple coexisting structures which community detection algorithms may or may not pick up, calling for a benchmark network model with built-in ambiguity on the mesoscale. (2/6)
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 21
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...
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...
journals.aps.org
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lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 20
Our model serves as a benchmark for future research, to gauge how mesoscale structure detection algorithms deal with mesoscale ambiguity + we emphasise the importance of considering coexisting structures. (6/6)
lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 20
In our experimental set-up, the coexistence of the two partitions was only detected in a small number of cases — mostly one (dominating) structure was preferred! (5/6)
1
lenamangold.bsky.social
Lena Mangold @lenamangold.bsky.social · Nov 20
We showcase the SCBM by generating networks with coexisting bi-community and core-periphery structure (with varying ‘structural strength’) and we explore how well they are picked up by different SBM variants. (4/6)
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