Computational Social Science and Network Inequality research group at @CSHVienna

Joined January 2022
123 Photos and videos
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/s41598-0…
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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!
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📢New research alert!  📢 How do our multidimensional identities shape who we connect with and the inequalities that emerge in our social networks?🧵
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In Paper 2, we show: 💡Attribute correlations (e.g., gender & race) create unexpected inequalities unobservable in one-dimensional systems. 💡 Minority overlap leads to severe disadvantages in some cases. 💡Our model accurately predicts inequalities in real-world networks.
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These findings help address open questions in social psychology: ✅How do multidimensional identities drive connection preferences? ✅How do these preferences impact inequality? ✅What patterns emerge when identity attributes correlate (consolidation)?
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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

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In Paper 2, we show: 📷 Attribute correlations (e.g., gender & race) create unexpected inequalities unobservable in one-dimensional systems. 📷 Minority overlap leads to severe disadvantages in some cases. 📷 Our model accurately predicts inequalities in real-world networks.
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These findings address questions in social psychology: 📷 How multidimensional identities drive connection preferences? 📷 How these preferences impact inequality? 📷 What patterns emerge when identity attributes correlate?#SocialNetworks #Inequality #Intersectionality
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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
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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!
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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
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🚀 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/netincsh.bs… #StayConnected @CSHVienna
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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-videos @CSHVienna #LatePost
Can network interventions like #quotas truly improve minority representation in rankings? Find out in the next #NetworkInequality Lecture by @leoneuhaeuser! 🗓️ October 24, 11AM CET Info: networkinequality.com/lectur… Previous talks: bit.ly/LSNI-2024-videos @CSHVienna
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