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  1. Research groupBERGAnalysis of blockchain/DLT networks, dynamics and security of distributed systems. · Radosław Michalski · BERG focuses on blockchain and DLT network analytics: structure, dynamics, deanonymization, consensus and P2P networks, as a specialist complex-networks competence area. · blockchain analytics DLT networks P2P networks deanonymization consensus analysis transaction graphs network dynamics…
  2. PersonMateusz StolarskiPhD Student · football f1 pop culture · Network Science Lab · Data Scientist and PhD candidate in artificial intelligence, working on graph machine learning and complex network analysis. His research focuses on graph reduction, influence maximisation and control of processes occurring within complex networks.
  3. PersonMichał CzubaAssistant · complex networked systems machine learning on graphs representation learning graph mining spreading phenomena social networks · Network Science Lab · I am a researcher working at the intersection of complex networks, deep learning, and agent-based modelling. My interests primarily cover machine learning on graphs (with a particular focus on graph neural networks), data mining,…
  4. Research groupNetwork Science LabWe model complex systems as networks to study their dynamics, resilience, and spreading processes. · Piotr Bródka · Network Science Lab is a group of people from Wrocław Tech working on various aspects of network science, starting from spreading processes (information diffusion, influence spread, opinion formation, virus spread, etc.), through interacting spreading processes, seed selection (e.g.…
  5. ProjectOMINO — Overcoming Multilevel INformation OverloadMeasures, models and mitigates multilevel information overload through neuroscience, social science, journalism, computing and complexity science. Networks Information overload International collaboration Mobility
  6. PersonPiotr BródkaAssociate Professor, Deputy Head of the Department · Computational Network Science Spreading Processes in Complex Networks Dynamic of Social Networks Control of Complex Networks Multilayer Networks Community Detection, Evolution and Prediction in Complex Networks graph neural networks · Network Science Lab · Piotr Bródka has been affiliated with Wrocław University of Science and Technology for…
  7. PersonPrzemysław KazienkoFull Professor · Machine Learning Affective Computing Emotion Recognition Wearables Personalization Natural Language Processing Human-centred NLP Social Media Analytics Social Networks · Emognition · HumaNLP · ImpactAI Lab · Przemysław Kazienko, Ph.D. is a full professor and leader of ENGINE - the European Centre for Data Science at Wroclaw University of Science and Technology, Poland and two…
  8. PersonRadosław MichalskiAssociate Professor · Network science Complex networks Spreading processes Blockchain Machine learning Temporal networks · BERG · Network Science Lab · Radosław Michalski is an Associate Professor with the Department of Artificial Intelligence, Wrocław University of Science and Technology, Wrocław, Poland. His research interests include network science, complex (especially temporal) networks, and…
  9. PersonDaria DziubałtowskaPhD Student · Network Science Lab · Daria Dziubałtowska is a PhD student at the Department of Artificial Intelligence at Wrocław University of Science and Technology. She holds a B.Sc. in Applied Mathematics from Wrocław University of Science and Technology and an M.Sc. in Computer Science from the Technical Academy of Informatics in Applied Sciences in Wrocław. In her academic research, she…
  10. PublicationTwinning complex networked systems: data-driven calibration of the mABCD synthetic graph generatorPiotr Bródka, Michał J Czuba, Mateusz K Stolarski, Bogumił Kamiński, Łukasz Kraiński, Katarzyna Musiał, Paweł Prałat · W: Modelling and Mining Networks : 21st International Workshop, WAW 2026, Toronto, ON, Canada, June 15–19, 2026 : proceedings / eds. Fan Chung Graham [i in.]. Cham : Springer Nature Switzerland AG, cop. 2026. s. 1-17.
  11. PublicationApplicability of the minimal dominating set for influence maximization in multilayer networksMichał J. Czuba, Piotr Bródka, Mingshan Jia, Katarzyna Musiał · Journal of Complex Networks 2025 vol. 13, nr 6, art. cnaf036, s. 1-23.
  12. PublicationIdentifying super spreaders in multilayer networksMichał Czuba, Stolarski, Mateusz, Adam Piróg, Piotr Bielak, Piotr Bródka, Mateusz Stolarski · ECAI 2025
  13. PublicationIdentifying key nodes for the influence spread using a machine learning approachMateusz K. Stolarski, Piotr Bródka, Adam Piróg · Entropy 2024 vol. 26, nr 11, art. 955, s. 1-13.
  14. PublicationNetwork Diffusion Framework to simulate spreading processes in complex networksMichał J. Czuba, Mateusz Nurek, Damian Serwata, Radosław W Michalski, Piotr Bródka, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musiał · Big Data Mining and Analytics 2024 vol. 7, nr 3, s. 637-654.
  15. PublicationSnapshot Spectral Clustering - a costless approach to deep clustering ensembles generationAdam Piróg, Halina Kwaśnicka · W: 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 18-23 June 2023 : conference proceedings. Danvers, MA : IEEE, cop. 2023. s. 1-8.
  16. PublicationMaximising influence spread in complex networks by utilising community-based driver nodes as seedsPiotr Bródka, Abida Sadaf, Luke Mathieson, Katarzyna Musiał · W: Information Management and Big Data : 9th Annual International Conference, SIMBig 2022, Lima, Peru, November 16-18, 2022 : proceedings / eds. Juan Antonio Lossio-Ventura [i in.]. Cham : Springer, cop. 2023. s. 126-141.
  17. PublicationSimulating spreading of multiple interacting processes in complex networksMichał J. Czuba, Piotr Bródka · W: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA’2022, 13-16 October, 2022, Shenzhen, China : proceedings / eds. Joshua Zhexue Huang [i in.]. Piscataway, NJ : IEEE, cop. 2022. s. 1-10.