Computational Social Science and Network Inequality research group at @CSHVienna
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/s41598-0…
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!
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)?
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.
But there's more! Multidimensional identities also impact social capital inequalities.
📰Paper 2: "Intersectional inequalities in social networks"
arxiv.org/abs/2410.21189
Highlights:
✨ Modeled how we combine identity info (e.g., gender, ethnicity) when choosing friends.
✨ People are picky choosers and use the simplest strategy when integrating preferences.
✨ Quantitatively detect the most relevant dimensions (salience) in connection choices.
Enter our new network model to explore multidimensional identity-driven interactions!📰Paper 1: "The hidden architecture of connections"
arxiv.org/abs/2406.17043
Social categories like race, gender, and socioeconomic status drive our connection preferences. But what happens when we belong to multiple groups?🤔
📢New research alert! 📢
How do our multidimensional identities shape who we connect with and the inequalities that emerge in our social networks?🧵
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
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
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.
But there's more! Multidimensional identities also impact social capital inequalities.
📷 Paper 2: "Intersectional inequalities in social networks"
📷 arxiv.org/abs/2410.21189
Highlights:
📷 Modeled how we combine identity info (e.g., gender, ethnicity) when choosing friends.
📷 Found that people are picky choosers and use the simplest strategy to integrate preferences.
📷 Identify quantitatively the most relevant dimensions in connection choices.
But if we belong to multiple groups?
📷Our network model to explores multidimensional identity-driven interactions. 📷 Paper 1: "The hidden architecture of connections" 📷 arxiv.org/abs/2406.17043
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
ALT Promotional image for the science fiction book 'Planets of Disparity: The Hidden Divide' by Liuhuaying Yang, presented by Complexity Science Hub and NetIn. The right side displays the book cover, featuring cats and dogs in a futuristic setting, gazing at planets in a cosmic background. The left side features text describing the book: 'In a parallel universe where planets are home to cats and dogs, an annual awards ceremony celebrates the most esteemed inhabitants. Liz, an engineer, uncovers strange anomalies in the selection process, drawing her into a web of deceit. Special investigators Luna and Max join her quest as they discover that the algorithm governing the rankings may hold the key to chaos across the cosmos. What role does this algorithm play in the fate of interplanetary fairness?'
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/netincsh.bs…
#StayConnected @CSHVienna
