Email: piotr.brodka@pwr.edu.pl

Jednostka: Wydział Informatyki i Telekomunikacji » Katedra Sztucznej Inteligencji

Wybrzeże Wyspiańskiego 27, Wrocław
bud. D-21, pok. 231
tel. 71 320 3453

Konsultacje

• Terminy w USOS

---

Zainteresowania naukowe

• sieci złożone; analiza sieci złożonych; dynamika sieci społecznych; wielowarstwowe sieci społeczne; procesy rozprzestrzeniania w sieciach; danologia.

---

Piotr Bródka na zewnątrz

• Strona domowa
• ORCID
• Google Scholar
• ResearchGate

---

Najważniejsze publikacje z ostatnich lat

1. Czuba, M., Jia, M., Bródka, P., & Musial, K. (2025). Applicability of the Minimal Dominating Set for Influence Maximisation in Multilayer Networks. Journal of Complex Networks https://doi.org/10.1093/comnet/cnaf036 
2. Czuba, M., Stolarski, M., Piróg, A., Bielak, P., & Bródka, P. (2025). Identifying Super Spreaders in Multilayer Networks. in ECAI 2025 - 28th European Conference on Artificial Intelligence
3. Bródka, P., Czuba, M., Kamiński, B., Kraiński, Ł., Prałat, P., & Théberge, F. (2025). The Multilayer Artificial Benchmark for Community Detection (mABCD). International Workshop on Modelling and Mining Networks (pp. 172-188). Springer, Cham, https://doi.org/10.1007/978-3-031-92898-7_12
4. Czuba, M., & Bródka, P. (2025). Rank-refining seed selection methods for budget constrained influence maximisation in multilayer networks under linear threshold model. Social Network Analysis and Mining, 15(1), 46, https://doi.org/10.1007/s13278-025-01454-7
5. Paradowski, M.B., Whitby, N., Czuba, M. and Bródka, P. (2024). Peer Interaction Dynamics and Second Language Learning Trajectories During Study Abroad: A Longitudinal Investigation Using Dynamic Computational Social Network Analysis. Language Learning. https://doi.org/10.1111/lang.12681
6. Stolarski M, Piróg A, Bródka P. (2024). Identifying Key Nodes for the Influence Spread Using a Machine Learning Approach. Entropy, 2024; 26(11):955. https://doi.org/10.3390/e26110955
7. Czuba, M., Nurek, M., Serwata, D., Qui, Y., Jia, M. Musiał, K., Michalski, R., Bródka, P. (2024). Network Diffusion – Framework to Simulate Spreading Processes in Complex Networks. Big Data Mining and Analytics, 7(1), ; https://doi.org/10.26599/BDMA.2024.9020010
8. Sadaf, A., Mathieson, L., Bródka, P., Musiał, K. (2024). A bridge between influence models and control methods. Applied Network Scienc 9, 38 https://doi.org/10.1007/s41109-024-00647-x
9. Wątroba, P., Bródka, P., (2023). Influence of Information Blocking on the Spread of Virus in Multilayer Networks. Entropy 2023, 25(2), 231; https://doi.org/10.3390/e25020231
10. Bródka, P. Jankowski, J., & Michalski, R. (2021). Sequential seeding in multilayer networks. Chaos 31, 033130; https://doi.org/10.1063/5.0023427
11. Michalski, R., Jankowski, J. & Bródka, P. (2020). Effective Influence Spreading in Temporal Networks with Sequential Seeding. IEEE Access, vol. 8, pp. 151208-151218, doi: 10.1109/ACCESS.2020.3016913.
12. Bródka, P., Musial, K., & Jankowski, J. (2020). Interacting spreading processes in multilayer networks. IEEE Access, vol. 8, pp. 10316-10341, doi:10.1109/ACCESS.2020.2965547
13. Belfin, R. V., Bródka, P., Radhakrishnan, B. L., & Rejula, V. (2022). COVID-19 peak estimation and effect of nationwide lockdown in India. Journal of Statistics and Management Systems, 1-18