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

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Zainteresowania naukowe

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

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Piotr Bródka na zewnątrz

• Strona domowa
• ORCID
• Google Scholar
• ResearchGate

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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 

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Wybrane publikacje
1	Artykuł 2025 Karol Dykiert, Wojciech Cieżak, Piotr Bródka, Implementing data science to enhance water distribution system modelling. A case study of building hydraulic model of high-pressure zone in Wrocław = Wykorzystanie data science do usprawnienia modelowania hydraulicznego sieci wodociągowych. Przypadek budowy modelu strefy wysokiego ciśnienia we Wrocławiu. Instal. 2025, nr 10, s. 40-45. ISSN: 1640-8160
2	Referat konferencyjny 2025 Michał J Czuba, Mateusz K Stolarski, Adam Piróg, Piotr Bielak, Piotr Bródka, Identifying super spreaders in multilayer networks. W: ECAI 2025 : 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy. Including : 14th Conference on Prestigious Applications of Intelligent Systems (PAIS 2025) : proceedings / eds. Inês Lynce [i in.]. Amsterdam : IOS Press, cop. 2025. s. 2195-2202. ISBN: 978-1-64368-631-8 Zasoby:DOIURLSFX
3	Referat konferencyjny 2025 Piotr Bródka, Michał J Czuba, Bogumił Kamiński, Łukasz Kraiński, Paweł Prałat, François Théberge, The multilayer Artificial Benchmark for Community Detection (mABCD). W: Modelling and Mining Networks : 20th International Workshop, WAW 2025 : Vilnius, Lithuania, June 30 - July 3, 2025 : proceedings / eds. Mindaugas Bloznelis [i in.]. Cham : Springer Nature Switzerland AG, cop. 2025. s. 172-188. ISBN: 978-3-031-92897-0; 978-3-031-92898-7 Zasoby:DOIURLSFX
4	Artykuł 2025 Michał J Czuba, Piotr Bródka, Rank-refining seed selection methods for budget constrained influence maximisation in multilayer networks under linear threshold model. Social Network Analysis and Mining. 2025, vol. 15, art. 46, s. 1-25. ISSN: 1869-5450; 1869-5469 Zasoby:DOIURLSFX
5	Artykuł 2024 Mateusz K Stolarski, Adam Piróg, Piotr Bródka, Identifying key nodes for the influence spread using a machine learning approach. Entropy. 2024, vol. 26, nr 11, art. 955, s. 1-13. ISSN: 1099-4300 Zasoby:DOIURLSFX
6	Artykuł 2024 Michał B Paradowski, Nicole Whitby, Michał J Czuba, Piotr Bródka, Peer interaction dynamics and second language learning trajectories during study abroad: A longitudinal investigation using dynamic computational social network analysis. Language Learning. 2024, vol. 74, nr S2, s. 58-115. ISSN: 0023-8333; 1467-9922 Zasoby:DOISFX
7	Artykuł 2024 Michał J Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musiał, Radosław W Michalski, Piotr Bródka, Network Diffusion Framework to simulate spreading processes in complex networks. Big Data Mining and Analytics. 2024, vol. 7, nr 3, s. 637-654. ISSN: 2096-0654; 2097-406X Zasoby:DOIURLSFX
8	Artykuł 2024 Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musiał, A bridge between influence models and control methods. Applied Network Science. 2024, vol. 9, art. 38, s. 1-31. ISSN: 2364-8228 Zasoby:DOIURLSFX
9	Artykuł 2024 Anna Andreasson, Lars Agréus, Nikolaos Mastellos, Grzegorz Bliźniuk, Dorota Waśko-Czopnik, Agapi Angelaki, Eirini Theodosaki, Christos Lionis, Karin Hek, Robert Verheij, Ellen Wright, Stevo Durbaba, Jean Muris, Piotr Bródka, Stanisław Saganowski, Jean-Francois Ethier, Vasa Curcin, Brendan Delaney, Effect of on-demand vs continuous prescription of proton pump inhibitors on symptom burden and quality of life: results of a real-world randomized controlled trial in primary care patients with gastroesophageal reflux disease. Annals of Medicine. 2024, vol. 56, nr 1, s. 1-9. ISSN: 1365-2060; 0785-3890 Zasoby:DOIURLSFX
10	Referat konferencyjny 2023 Abida Sadaf, Luke Mathieson, Piotr Bródka, Katarzyna Musiał, Maximising influence spread in complex networks by utilising community-based driver nodes as seeds. 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. ISBN: 978-3-031-35444-1; 978-3-031-35445-8 Zasoby:DOIURLSFX

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