Register for our Summer School on Network Science 📍 Utrecht | 🗓 July 13–17, 2026 Hands-on with real data in Python & R. Bring your own data. 🌐 net-science.github.io #NetworkScience #DataScience #ComplexSystems
Javier Garcia-Bernardo
@javiergbe.bsky.social
Assistant professor @utrechtuniversity.bsky.social // Social Data Science (SoDa) group @odissei.bsky.social
This paper is now published on Network Science! 🎊 Open-access published version: doi.org/10.1017/nws.... (and the dataset is freely available!) Menéame.net user interaction dataset: doi.org/10.5281/zeno... @javiergbe.bsky.social @abovet.bsky.social
Negative ties highlight hidden extremes in social media polarization | Network Science | Cambridge Core
Negative ties highlight hidden extremes in social media polarization - Volume 13
doi.org
Elena Candellone@elenacandellone.bsky.social · 2y agoNew preprint out! We analyze data from Meneame, a Spanish "Reddit-like" platform, assessing polarization with a dual method approach: SHEEP for signed networks and Correspondence Analysis for unsigned networks. doi.org/10.48550/arX...
There's only one week left to register for our Network Science Summer School at Utrecht University! Learn how networks shape our social, economic, and biological worlds. Hands-on training in Python & R from leading experts. July 7-11, 2025. Register now at net-science.github.io #NetworkScience
🧵1/ Paper out How does COVID-19 spread through school and family networks? We analyzed Dutch population registry data (containing info on everybody in the Netherlands) to understand which social ties mattered most in student infections from 2020–2021. 📄 doi.org/10.1038/s415...
Assessing COVID-19 transmission through school and family networks using population-level registry data from the Netherlands - Scientific Reports
Scientific Reports - Assessing COVID-19 transmission through school and family networks using population-level registry data from the Netherlands
doi.org
🚀 Dive into Network Science at Utrecht University's Summer School (July 7-11, 2025)! Learn how networks shape our social, economic & biological worlds. Hands-on training with Python & R by leading experts. Register now! 🌐 net-science.github.io/%F0%9F%94%97 #NetworkScience
📢 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗟𝗮𝘁𝗲-𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝗪𝗼𝗿𝗸 – 𝗡𝗲𝘁𝗦𝗰𝗶 𝟮𝟬𝟮𝟱 📢 We are excited to announce 𝗮 𝘀𝗲𝗰𝗼𝗻𝗱 𝗰𝗮𝗹𝗹 𝗳𝗼𝗿 𝗮𝗯𝘀𝘁𝗿𝗮𝗰𝘁𝘀 for the NetSci Conference! netsci2025.github.io/calls/
In summary, while unsigned data may be enough to assess ideological polarization, they fall short of identifying extreme users engaging in antagonistic behavior, only possible with signed data. Thanks to S. Babul (first shared co-author), Ö. Togay, @abovet.bsky.social , and @javiergbe.bsky.social