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New collaboration with @[email protected] and Luigi Arminio on image clustering based on foundation models for the study of visual communication, part of PolarVis Research Project Preprint here: osf.io/preprints/soca… @nerdsitu #css #computationalsocialscience #sds #socialdatascience

We are pleased to welcome Ece Calikus to the UU-Infolab (no longer active here). Today, Ece is joining the Department of Information Technology at @UU_University as an assistant professor.

New release: version 2.2 of uunet.multinet, the #Python porting of our #multinet library for #multiplex network analysis #sna pypi.org/project/uunet/ Release info: github.com/uuinfolab/py_m…

New release: version 4.2 of #multinet, our library for #multiplex network analysis #sna cran.r-project.org/web/packages/m… Release info: github.com/uuinfolab/r_mu… #rstats #CRAN

This week we are at #ecprgc24, where Matias is presenting his PhD work on visual topic modelling European Consortium for Political Research

We welcome Inga Wohlert, who is starting today as a PhD student in #Social #Cybersecurity.

📢New paper: Structure and dynamics of growing networks of Reddit threads. rdcu.be/dS2OG We investigate how platform guidelines influence online discussions: by modeling threads as dynamic networks, we uncover distinct interaction patterns shaped by such guidelines.

New publication by Diletta Goglia 🇸🇪🇮🇹 @dilettagoglia.bsky.social and Davide Vega (archived)

New paper from our collaboration with @nerdsitu @ITUkbh tandfonline.com/doi/full/10.10…

Today Davide Vega (archived) is at Linköpings universitet for the event on AI and Challenges to Personal Data and Data Protection in Research, talking about Large Language Models and Research ethics liu.se/en/event/ai-an…

A new publication by @giorgospanay calling for more research on data engineering aspects of multilayer network science, to meet the requirements of contemporary data-intensive applications of multilayer networks.

Open PhD positions at Uppsala University on interdisciplinary mathematics projects - including our project on #networkscience & #datauncertainty (project 9) uu.se/en/centre/inte…

New publication, where we look at climate change communication on YouTube via API research, channel coding, and computational image analysis. journals.plos.org/plosone/articl…

In this new publication led by xin shen we propose and compare algorithmic approaches to efficiently process networks where edge existence is uncertain. On the accurate computation of expected modularity in probabilistic networks, Scientific Reports arxiv.org/abs/2408.07161

In this new report led by Matias Piqueras ("A Visual Structural Topic Model with Image Embeddings") we provide a new method for the computational analysis of visual communication based on the actual images (with mixed membership & inclusion of metadata) arxiv.org/abs/2504.10004

New report where we construct and analyse a population-scale (multilayer) social network for Sweden: "Anatomy of a Swedish population-scale network", available here: osf.io/preprints/soca… This allows us to relate social network features with other socio-demographic variables.

With a link to the latest version: osf.io/preprints/soca…

This week we had the pleasure to host our colleagues and friends from Università della Calabria. Lucio La Cava - @[email protected] delivered a well-attended intensive course on Large Language Models, and Andrea Tagarelli presented the research done by his team. We look forward to new collaborations.

Congratulations to Anand, who defended his Master's thesis: "A comparative study of Fairness Metrics for Modularity-based Community Detection".

Congratulations to George for his half-time PhD seminar: "Fair and Scalable Multilayer Network Community Detection".