Network Inequality @NetInCSH
Computational Social Science and Network Inequality research group at @CSHVienna networkinequality.com Vienna Joined January 2022-
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New paper allert!🚨🚨🚨 @fariba_k W/ Sina Sajjadi, Pourya Toranj Simin and others show how socio-economic inequalities exacerbate infection disparities using computational models and validated with empirical COVID data in the US. nature.com/articles/s4159…
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We are delighted to welcome Paula Nauta to our team as a #PhD! Paula will develop research on ***parenthood*** in Academia and the ethics and moral values behind ML papers. Stay tuned for the outcomes of her projects in the coming years!
Network Inequality retweeted
I am pleased to share this research paper rdcu.be/d6F7e, published in @epj_ds , a q1 journal in modeling. The research work is about the prediction of SES using GNN. This a joint work with: @carmenvruiz, @mvillavi1, @lespin, @nervoxavier. cc: @espol @DEC_INV_ESPOL
Excited to share our colleague @LiuhuayingYang's sci-fi book inspired by our research on inequality in ranking systems! A creative take on how the rich-get-richer effect & homophily shape visibility. A must-read for all curious minds! Order on Amazon: amzn.eu/d/cyMLz4V
Happy New Year from our lab! Grateful to our community—colleagues, partners, mentors, and followers. 2024 was a year of growth in exploring network inequalities, publishing research, and sharing knowledge. Thanks to our team, speakers, and @CSHVienna. Here's to an inspiring 2025!
Thank you to all speakers and attendees of the 2024 Lecture Series on Network Inequality! Special thanks to our #NetIn team for organizing 17 insightful talks. We hope these sessions inspire new ideas and collaborations for a more connected and equitable world. @CSHVienna
🚀 We’ve landed on @bluesky! Come vibe with us where the sky’s the limit. 🌌 We’re still hanging out here on X (for now) but the future’s looking pretty blue. 💙 Follow us there & stay ahead of the curve: bsky.app/profile/netinc… #StayConnected @CSHVienna
Fascinating talk by @leoneuhaeuser: We learned two network interventions to change the representation of minorities in top-k ranks, and how systematic errors (missing links/nodes) affect this representation. Watch the video: bit.ly/LSNI-2024-vide… @CSHVienna #LatePost
Fascinating talk by @leoneuhaeuser: We learned two network interventions to change the representation of minorities in top-k ranks, and how systematic errors (missing links/nodes) affect this representation. Watch the video: bit.ly/LSNI-2024-vide… @CSHVienna #LatePost https://t.co/F1RK4COlVF
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