Georgios Panayiotou

Not everyone was around when we scrambled together a photo of #NetSciX2026 attendees, but we managed to find a fair share of people during the coffee break. What a privilege it was to host this community here in Aotearoa New Zealand.

Individual Fairness in Community Detection: Quantitative Measure and Comparative Evaluation
https://arxiv.org/abs/2602.16326
Community detection is a fundamental task in complex network analysis. Fairness-aware community detection seeks to prevent biased node partitions, typically framed in t...📈🤖

We're off for #NetSciX2026 in Auckland. Starting the network science school day with Eduardo Altmann on meso-scale structures.

New article out: The seven roles of generative AI: Potential & pitfalls in combatting misinformation. Thomas Nygren, Emily R. Spearing, Nicolas Fay, Davide Vega, Isabella I. Hardwick, Jon Roozenbeek, and Ullrich K. H. Ecker. doi.org/10.1177/2379...

New article out, led by @lorenzo-mannocci.bsky.social, moving towards the "unflattening" of the study of online coordination: "Multimodal Coordinated Online Behavior: Trade-offs and Strategies". Full text here: authors.elsevier.com/c/1mUYo4ZQEN...

Congratulations to @dilettagoglia.bsky.social for successfully presenting her half-time PhD seminar: "Computational methods for studying persuasion in online social communication"!

Congratulations @annabertani.bsky.social !

🚨🚨 New paper out! With @colltoaction.bsky.social, @fralotito.bsky.social, and a bunch of offline co-authors 🙂 we published "HIF: The hypergraph interchange format for higher-order networks" doi.org/10.1017/nws....

Fantastic workshop on Monday in Amsterdam. Productive talks, strengthen connections, exciting next steps for the international population-scale network research community

Multilayer network science: theory, methods, and applications Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increasing availability of...

Our review on multilayer network science is out on the arXiv. Thanks to all collaborators of the AccelNet MultiNet project, great working with you all 🙏 @alexvespi.bsky.social @ymoreno.bsky.social @lordgrilo.bsky.social @anduviera.bsky.social @baronca.bsky.social
arxiv.org/abs/2511.23371

We welcome @anmen.bsky.social as a new postdoctoral researcher at Uppsala University, Dept. of Information Technology, and as a new member of the InfoLab.

Intersectional inequalities in social ties At identity intersections, inequality transforms, revealing network patterns that single-dimensional models fail to explain.

New paper in Science Advances:
“Intersectional inequalities in social ties”
🔗 www.science.org/doi/10.1126/...
A quantitative framework to measure how inequalities emerge in social networks when multiple identities intersect.
#SocialNetworks #Inequality #Intersectionality #ComplexSystems

Congratulations to our @dvladek.bsky.social for being appointed Docent in Computer Science!

Detecting bias in algorithms used to disseminate information in social networks and mitigating it using multiobjective optimization Abstract. Social connections are conduits through which individuals communicate, information propagates, and diseases spread. Identifying individuals who a

How fair are the algorithms that decide who gets information online? Our new paper in PNAS Nexus shows that maximization algorithms, the ones used to pick “influencers” in social networks, unintentionally deepen inequality.

🧠 Sekara, Dotu, Cebrian, Moro & García-Herranz
🔗 doi.org/10.1093/pnas...

MOUFLON: Multi-group Modularity-based Fairness-aware Community Detection
https://arxiv.org/abs/2510.12348
In this paper, we propose MOUFLON, a fairness-aware, modularity-based community detection method that allows adjusting the importance of partition quality over fairness outcomes. MOUFLON ...📈🤖

In Zurich today for the Ethics in Complex Systems Workshop

My friends after watching this: "is this your PhD?"

Want to promote transparency and clarity in network research by helping develop 𝐆𝐮𝐢𝐝𝐞𝐥𝐢𝐧𝐞𝐬 𝐟𝐨𝐫 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐀𝐛𝐨𝐮𝐭 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐃𝐚𝐭𝐚 (𝐆𝐑𝐀𝐍𝐃)?

Sign up to get involved here: tinyurl.com/help-with-GR...

▪️ All career stages welcome
▪️ All fields welcome
▪️ Be compensated for your time

Influence of the majority group on individual judgments in online spontaneous conversations This study investigates how the majority group influences individual judgment formation and expression in anonymous, spontaneous online conversations. Drawing on theories of social conformity and anti...

🚨 New paper out! 🚨

🔗 arxiv.org/abs/2509.21092
[read comments for more!]

Special thanks to my co-authors @dvladek.bsky.social and Alessio Gandelli from @uuinfolab.bsky.social !

#ComputationalSocialScience #OnlineSocialNetworks
@arxiv-cs-si.bsky.social

Nearly twenty years after the first igraph release, igraph 1.0 has finally arrived! 🎉 This release focuses on providing a stable and more consistent interface that users and downstream maintainers can rely on with confidence. For more detail, see igraph.org/2025/09/20/i...

Podcasts as a Medium for Participation in Collective Action: A Case Study of Black Lives Matter We study how participation in collective action is articulated in podcast discussions, using the Black Lives Matter (BLM) movement as a case study. While research on collective action discourse has pr...

Our new study provides the first large-scale look at how collective action is expressed in spoken digital discourse, using #BlackLivesMatter as a case study.

Many thanks to @ariannapera.bsky.social @dvladek.bsky.social @lajello.bsky.social for the collab

Check it out: arxiv.org/abs/2509.13197

I will not stop using my em dashes out of fear of a reviewer accusing me of using AI!

📢Take a breath, you have extra days to finish!
Due to technical issues with @openreviewnet this week, we’ve extended all deadlines by 2 weeks.

🗓️New deadline for abstracts: Sept 19, 23:59 AoE

📷 More info: netscix2026.github.io
@MLuczak @ProfMSmall @droneale @danielapaolotti

#CCS2025 Day 4 invited speaker Fariba Karimi discusses inequality between majority and minority in social networks of science

Population-Scale Network Embeddings Expose Educational Divides in Network Structure Related to Right-Wing Populist Voting
https://arxiv.org/abs/2508.21236
Administrative registry data can be used to construct population-scale networks whose ties reflect shared social contexts between persons....📈🤖

Final year PhD students, I know you’re desperately trying to finish experiments/revisions/submissions/write a thesis & just survive - but please spare a few minutes to apply to your dream postdoc labs.

It easily takes A YEAR from first contact, even if everything goes to plan on both sides.

Our article on population-scale networks of social opportunities constructed from administrative data is now available online: www.nature.com/articles/s41....

Anatomy of a Swedish population-scale network - Scientific Reports Scientific Reports - Anatomy of a Swedish population-scale network

🧮 ~8M nodes, 330M relationships across family, household, school & work.

🇸🇪 We constructed a multilayer population-scale network for Sweden, capturing distinct features of the country.

📝 doi.org/10.1038/s415...

cc: @ingakwoh.bsky.social @matmagnani.bsky.social ++

Καλημέρα!
Καλό Δεκαπενταύγουστο!

Breaking the Sorting Barrier for Directed Single-Source Shortest Paths We give a deterministic $O(m\log^{2/3}n)$-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition model. This is the fi...

"This is the first result to break the O(m+nlogn) time bound of Dijkstra's algorithm on sparse graphs, showing that Dijkstra's algorithm is not optimal for SSSP."

arxiv.org/abs/2504.17033