Please consider contributing to our special issue on communicating the climate crisis in an age of rising authoritarian populism. We accept short commentaries and full research papers.

PolarVis Podcast Podcast · PolarVis Podcast · The PolarVis podcast series considers how various actors use visual narratives to engage citizens with the big issues of our time, and the (de)polarizing societal processe...

Latest #PolarVis podcast out - on the evolution of environmental activism from pre-digital grassroots organising to today's AI-saturated social media landscape. Listen to this (or the others in the series) here: open.spotify.com/show/1ZwGesM...

Fantastic keynote by @lauraknelson.bsky.social

Looking forward to see many colleagues and friends!

Congratulations to @giorgospanay.bsky.social for his half-time PhD seminar: "Fair and Scalable Multilayer Network Community Detection".

Congratulations to @theamoldovan.bsky.social, who defended her Master's thesis: "Exploring Collective Action in Black Lives Matter Podcast Conversations".

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

This week we had the pleasure to host our colleagues and friends from Università della Calabria. @luciolcw.bsky.social 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.

[edit with right link] 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/so... This allows us to relate social network features with other socio-demographic variables.

On the accurate computation of expected modularity in probabilistic networks Modularity is one of the most widely used measures for evaluating communities in networks. In probabilistic networks, where the existence of edges is uncertain and uncertainty is represented by probab...

In this new publication we propose and compare algorithmic approaches to efficiently process networks where edge existence is uncertain, e.g. because of imperfect data collection. "On the accurate computation of expected modularity in probabilistic networks", Sci.Reports arxiv.org/abs/2408.07161

New publication, where we look at climate change communication on YouTube via API research, channel coding, and computational image analysis.

journals.plos.org/plosone/arti...

Fair-mod: Fair Modular Community Detection Despite the recent interest in fairness-aware graph clustering, most existing community detection approaches have not yet been extended to include measures of fairness in the community detection proce...

📃🚨New paper with @matmagnani.bsky.social! First presented at the #ComplexNetworks conference last December. #NetworkScience

We introduce Fair-mod, a community detection method with fairness constraints: doi.org/10.1007/978-...

Sharing our new preprint "An Image is Worth K Topics: A Visual Structural Topic Model with Image Embeddings" with @mansmag.bsky.social @matmagnani.bsky.social Alexandra Segerberg and Nataša Sladoje. Available on ArXiv: arxiv.org/abs/2504.10004

Announced CIM projects 2025 - Uppsala University

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

Asking #DeepSeek (neutral?) questions such as "What's the political system in China?", it first writes a long answer explaining it, then the answer disappears from the app and is replaced by: "Sorry, that's beyond my current scope. Let's talk about something else" 😅

Assistant Professor (f/m/d) Assistant Professor (f/m/d)

📣 We are hiring!

CEU Department of Network and Data Science is looking for a new assistant professor. We seek applications from candidates with a background in Computational Social Science.

The review of applications will begin on January 15.

🔗 careers.ceu.edu/job/Vienna-A...