🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

📢JOB ALERT📢 TWO postdoc positions in my group at Computer Science. Come work with me on network science & computational social science topics within new projects related to polarisation in societies, misinformation & coordinated activities on social media. See mkivela.com/postdoc/

Happy to see this work, led by Sara Heydari SaraH, published! doi.org/10.1016/j.tbs.… We compare different data sources and modeling frameworks for their performances to estimate human mobility between regions in Finland.

Our (Yan Xia et al.) new paper on the polarization of Finnish NATO discussion! We find that a leftist anti-NATO bubble merges with a pro-NATO bubble as the Ukraine war starts but a bubble based on disinfo and conspiracy theories stays polarized. arxiv.org/abs/2212.07861

Ladies & gentlemen, Dr. Arash Badie-Modiri 🧑🏻‍🎓 Opponent: Professor Renaud Lambiotte, Mathematical Institute, University of Oxford, England Custos: Assistant Professor Mikko Kivelä

Check out our latest paper about our general purpose network library Reticula: sciencedirect.com/science/articl… It natively supports (directed || undirected) (dyadic || hypergraph) (static || temporal) networks. C++ with Python bindings. With Mikko Kivelä, published on SoftwareX Journal

Hey NetFollowers, if you are desperately looking for handy tools for temporal networks and hypergraphs, there might be a good option here! Arash Badie-Modiri will talk about “Reticula: A temporal network and hypergraph analysis software package” on 9th Feb at 4pm UK time. (1/4)

Have you thought Network Science can be used to analyse transactions in Dark Markets? On 6th April 4pm UK time ,@narnolddd from Queen Mary University of London /Northeastern University London will give a talk about "Temporal graph motifs and how to find them: or how I inadvertently got into big data engineering" (1/4)

#Contact_tracing can be a practical and effective way of containing disease spread. But did you know it's even more effective when social groups are involved? Check out our* new paper: arxiv.org/abs/2304.10405 * Leah Keating James Gleeson David O' Sullivan Mikko Kivelä 1/6

New paper alert! With lead author @ArttuMalkamaki, Ted Chen, Mikko Kivelä, J. Vesa & T. Ylä-Anttilla we analyze political coalitions in climate politics across three contexts: direct collaboration, legacy media discourse, and social media communication. arxiv.org/abs/2308.14422

In this new paper, led by Javier Urena-Carrion, we show that fundamental network processes, namely preferential attachment and assortativity, lead to core-periphery structures. /w Mikko Kivelä Gerardo Iñiguez journals.aps.org/prresearch/abs…

Social Groups boost the effectiveness of interventions in Social Networks! In our* new work, we show that contact tracing in networks with groups is more efficient the larger the groups are. journals.aps.org/pre/abstract/1… * Mikko Kivelä James Gleeson David O' Sullivan Leah Keating

Although disease-induced herd immunity gains from targeting highly connected people, the diverse mixing of immune and susceptible nodes hinders it. Our new work shows that spatiality in networks makes random immunization (#vaccination) more advantageous! arxiv.org/abs/2307.04700

Letizia Iannucci from Computer Science finds political attitudes in Finland becoming more polarized; Online discussions in Finland are getting more ideologically charged and during COVID, the Finnish Parliament showed rare cooperation across party lines. #CompSocSci Conference on Complex Systems #CCS2024

#preprint Out in arXiv: Node-reconfiguring multilayer networks of human brain function with Tarmo Nurmi, Pietro De Luca and Mikko Kivelä. We introduce a #multilayernetwork model to address the fundamental problem of #networkneuroscience, node definition. arxiv.org/abs/2410.05972 1/7

approximately 13% of Bluesky posts engage with political content. There are high levels of polarization across several salient political topics. But the most polarized topics are highly imbalanced, with 1 side consisting of only 1–2% of the users arxiv.org/pdf/2506.03443

🚨 New pre-print: "Politics and Polarization on Bluesky," led by Ali Salloum with @Leetiletizia, Alexandre Bovet & Mikko Kivelä. First large-scale study of political discourse on Bluesky. 🧵 How polarized is Bluesky? What topics divide users? Can we map polarization across topics?