@mbojan.bsky.social
sociologist :: data scientist :: social networks analyst :: computational modeler :: seasoned :rstats: developer
📢WORK! At the Sociology department of @utrechtuniversity.bsky.social we are hiring a postdoc who will work on applications of AI in sociological research. Join our vibrant-yet-cohesive research community doing cutting-edge research. Please share or apply! www.uu.nl/en/organisat...
12.02.2026 11:11 — 👍 11 🔁 20 💬 0 📌 0cc @mrnkzr.bsky.social
10.02.2026 11:58 — 👍 2 🔁 0 💬 0 📌 0
Employing methods developed in the PATCHWORK project (patchwork-erc.eu) at @coalescelab.bsky.social , we ask, among other things, whether groups such as migrants or unemployed tend to occupy peripheral positions in social networks. 🧵4/4
09.02.2026 10:18 — 👍 3 🔁 3 💬 0 📌 0Among the chapters in the book is a study into network-scientific aspects of social cohesion. Together with Alla Loseva, @pschuler.bsky.social , Susanne Böller, and @mirandalubbers.bsky.social investigate the structure societal-level social networks. 🧵3/4
09.02.2026 10:18 — 👍 5 🔁 3 💬 1 📌 0
Contributions come from research projects that were incubated during the BIGSSS2022 summer school (wedsss.janlo.de/schools-2018...). Inside the book you will find agent-based models, computational text analysis, studies of social media and parliamentary speeches, network analysis, and more! 🧵2/4
09.02.2026 10:18 — 👍 4 🔁 2 💬 1 📌 0
Today Springer published an Open Access book edited by @janlo.de , Marijn Keijzer and myself covering a diverse range of Computational Social Science approaches to questions about social cohesion and polarization. Come and get it at link.springer.com/book/10.1007...
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I will be presenting at an open online seminar hosted by TripleS (Maastricht University) on March 12th (16:00-17:00 CET). Title: Social Categories and Boundary-Making: Exploring the Potential of Interactive Visual Tools to Study Boundary Work in Relationally-Oriented Semi-Structured Interviewing
06.02.2026 11:04 — 👍 6 🔁 6 💬 1 📌 0
This figure shows the distribution of the estimated acquaintanceship network size for the two measurements, and compares the individual estimates for all participants between the measurements. It shows that the estimates are pretty stable for more common sizes, but those with high network sizes ("hubs") fluctuate heavily
This figure shows the colorful response card we used for the data collection as a visual aid for respondents. It says "acquaintances are all the people that you know and who know you by SIGHT and by NAME. For instance, you can think of..." followed by 16 boxes for "partner", "family", "friends", "neighbors"; "at work"; "in clubs or associations", "religious community", "education", "people to whom you provide a service"; "social media"; and "other acquaintances". In each box, there is some more help, like "at work" is followed by coworker, boss, employee, client etc. Each box has 1 or 2 icons for further visual aid.
New paper in Sociological Methodology with @mbojan.sciences.social.ap.brid.gy, @alexciordia.bsky.social, & @nuriatargarona.bsky.social about the measurement properties of aggregated relational data (responses to "how many people do you know who..?") and NSUM estimates: doi.org/10.1177/0081...
05.06.2025 13:52 — 👍 17 🔁 7 💬 1 📌 0
Interested in people's acquaintances, their determinants and consequences for social cohesion, integration or inequality?
Submit to "Networks of Weak Ties and Social Cohesion" session at EUSN2026, co-organized with @mbojan.sciences.social.ap.brid.gy and @pschuler.bsky.social
liu.se/en/event/eus...
Hi @mbojan.sciences.social.ap.brid.gy , this is a test.
04.03.2025 14:23 — 👍 0 🔁 0 💬 0 📌 0
