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

• czwartek 13:00-15:00 - proszę o wcześniejszy kontakt mailowy

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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. Bródka, P. Jankowski, J., & Michalski, R. (2021). Sequential seeding in multilayer networks. Chaos 31, 033130; https://doi.org/10.1063/5.0023427
2. 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.
3. Bródka, P., Musial, K., & Jankowski, J. (2020). Interacting spreading processes in multilayer networks. IEEE Access, 8, doi:10.1109/ACCESS.2020.2965547
4. Saganowski S., Bródka P., Koziarski M., Kazienko P. (2019) . Analysis of group evolution prediction in complex networks. PloS ONE, 14(10): e0224194
5. Jankowski, J., Waniek, M., Alshamsi, A., Bródka, P., Michalski, R. (2018). Strategic distribution of seeds to support diffusion in complex networks. PloS ONE, 13(10), e0205130
6. Jankowski J., Szymanski B., Kazienko P., Michalski R., Bródka P. (2018) Probing Limits of Information Spread with Sequential Seeding. Scientific Reports, 8(1), 13996, DOI: 10.1038/s41598-018-32081-2
7. Bródka, P., Chmiel, A., Magnani, M., Ragozini, G. (2018). Quantifying layer similarity in multiplex networks: a systematic study. Royal Society Open Science 2018 5 171747, 10.1098/rsos.171747.
8. Belfin R.V., Kanaga E F.M., Bródka P. (2018). Overlapping community detection using superior seed set selection in social networks. Computers & Electrical Engineering, 10.1016/j.compeleceng.2018.03.012
9. Erlandsson F., Bródka P., Boldt M., Johnson H. (2017). Do we really need to catch them all? A new User-guided Social Media Crawling method. Entropy, 19(12), 686.
10. Jankowski, J., Michalski, R., Bródka, P. (2017). A multilayer network dataset of interaction and influence spreading in a virtual world. Scientific Data, 4, Article number: 170144
11. Ethier, JF, Curcin, V., McGilchrist, M., Lim Choi Keung, S., Zhao, L., Andreasson, A., Bródka, P., Michalski, R., Arvanitis T., Mastellos, N., Burgun, A., Delaney B. (2017). eSource for clinical trials: Implementation and evaluation of a standards-based approach in a real world trial, International Journal of Medical Informatics, Volume 106, pp. 17-24, Elsevier
12. Jankowski J., Bródka P., Kazienko P., Szymanski B., Michalski R., Kajdanowicz T. (2017) Balancing Speed and Coverage by Sequential Seeding in Complex Networks Scientific Reports, 7(1), 891, DOI: 10.1038/s41598-017-00937-8
13. Jankowski J., Bródka P., Humari J. (2016). A Picture is Worth a Thousand Words: An Empirical Study on the Influence of Content Visibility on Diffusion Processes within a Virtual World. Behaviour & Information Technology, 35(11), 926-945.
14. Jankowski, J., Saganowski, S., Bródka, P. (2016). Evaluation of TRANSFoRm mobile eHealth solution for remote patient monitoring during clinical trials. Mobile Information Systems, 2016, Article ID 1029368
15. Erlandsson F., Bródka P., Borg A., Johnson H. (2016). Finding Influential Users in Social Media Using Association Rule Learning. Entropy Special Issue "Machine Learning and Entropy: Discover Unknown Unknowns in Complex Data Sets" 18(5), 164
16. Mastellos N., Bliźniuk G., Czopnik D., McGilchrist M., Misiaszek A., Bródka P., Curcin V., Car J., Delaney B., Andreasson A. (2016). Feasibility and acceptability of TRANSFoRm to improve clinical trial recruitment in primary care. Family Practice 33 (2): 186-191.doi: 10.1093/fampra/cmv102
17. Saganowski S., Bródka P., Misiaszek A., Fraczkowski K. (2015). Mobile eHealth solution (ePRO). In Journal of clinical bioinformatics (Vol. 5, No. 1, p. S14). BioMed Central.
18. Saganowski S., Gliwa B., Bródka P., Zygmunt A., Kazienko P., Koźlak J. (2015). Predicting Community Evolution in Social Networks. Entropy, 17(5), 3053-3096.
19. Różewski P., Jankowski J., Bródka P., Michalski R. (2015). Knowledge workers’ collaborative learning behavior modeling in an organizational social network. Computers in Human Behavior, 51, 1248-1260.
20. Jankowski J., Michalski R., Bródka P., Kazienko P., Utz S. (2015). Knowledge Acquisition from Social Platforms Based on Network Distributions Fitting. Computers in Human Behavior, 51, 685-693.
21. Musial K., Bródka P., Kazienko P., Gaworecki J. (2014). Extraction of Multi-layered Social Networks from Activity Data.The Scientific World Journal 2014, Article ID 359868, 13 pages.
22. Michalski R., Kajdanowicz T., Bródka P., Kazienko P. (2014). Seed Selection for Spread of Influnece in Social Networks: Temporal vs. Static Approach. New Generation Computing, 32(3-4), 213-235.

 

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Wybrane publikacje
1	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
2	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
3	Artykuł 2024 Michał J Czuba, Mateusz Nurek, Damian Serwata, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musiał, Radosław 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
4	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
5	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
6	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
7	Referat konferencyjny 2023 Stanisław J Stępień, Jarosław Jankowski, Piotr Bródka, Radosław Michalski, The role of conformity in opinion dynamics modelling with multiple social circles. W: Computational Science - ICCS 2023 : 23rd International Conference Prague, Czech Republic, July 3-5, 2023 : proceedings. Pt. 3 / eds. Jiří Mikyška [i in.]. Cham : Springer, cop. 2023. s. 33-47. ISBN: 978-3-031-36023-7; 978-3-031-36024-4 Zasoby:DOIURLSFX
8	Artykuł 2023 Paulina Wątroba, Piotr Bródka, Influence of information blocking on the spread of virus in multilayer networks. Entropy. 2023, vol. 25, nr 2, art. 231, s. 1-16. ISSN: 1099-4300 Zasoby:DOIURLSFX
9	Referat konferencyjny 2022 Michał J Czuba, Piotr Bródka, Simulating spreading of multiple interacting processes in complex networks. 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. ISBN: 978-1-6654-7330-9 Zasoby:DOIURL
10	Referat konferencyjny 2022 Magdalena Zioło, Piotr Bródka, Anna Spoz, Jarosław Jankowski, Modeling the impact of external influence on green behaviour spreading in multilayer financial networks. 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. ISBN: 978-1-6654-7330-9 Zasoby:DOIURL

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