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Department of Artificial Intelligence
← Network Science Lab

Publications

Publications assigned to this group and public publications confirmed in the research records of its current members.

Publications: 155

  1. Identifying key nodes for the influence spread using a machine learning approach

    Mateusz K. Stolarski, Piotr Bródka, Adam Piróg

    Entropy · 2024

  2. Dynamic computational social network analysis of language learner interactions: Novel insights for study-abroad second language acquisition

    Piotr Bródka, Michał J Czuba, Michał B. Paradowski, Nicole Whitby

    2024 · 2024

  3. 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

    Piotr Bródka, Stanisław Saganowski, 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, Jean-Francois Ethier, Vasa Curcin, Brendan Delaney

    Annals of Medicine · 2024

  4. The role of conformity in opinion dynamics modelling with multiple social circles

    Stanisław Jakub Stępień, Piotr Bródka, Radosław W Michalski, Jarosław Jankowski

    ICCS 2023 · 2023

  5. Predicting relationship labels and individual personality traits from telecommunication history in social networks using Hawkes processes

    Mateusz Nurek, Radosław W Michalski, Omar Lizardo, Marian-Andrei Rizoiu

    IEEE Access · 2023

  6. Maximising influence spread in complex networks by utilising community-based driver nodes as seeds

    Piotr Bródka, Abida Sadaf, Luke Mathieson, Katarzyna Musiał

    SIMBig 2022 · 2023

  7. Improved DeepFake detection using Whisper features

    Piotr Kawa, Marcin Plata, Michał J Czuba, Piotr Szymański, Piotr Syga

    Interspeech 2023 · 2023

  8. Influence of information blocking on the spread of virus in multilayer networks

    Piotr Bródka, Paulina Wątroba

    Entropy · 2023

  9. COVID-19 peak estimation and effect of nationwide lockdown in India

    Piotr Bródka, R. V. Belfin, B. L Radhakrishnan, V Rejula

    Journal of Statistics & Management Systems · 2022

  10. Modeling the impact of external influence on green behaviour spreading in multilayer financial networks

    Piotr Bródka, Magdalena Zioło, Anna Spoz, Jarosław Jankowski

    2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA’2022, 13-16 October, Shenzhen, China · 2022

  11. CasSeqGCN: Combining network structure and temporal sequence to predict information cascades

    Radosław W Michalski, Yansong Wang, Xiaomeng Wang, Yijun Ran, Tao Jia

    Expert Systems with Applications · 2022

  12. Simulating spreading of multiple interacting processes in complex networks

    Michał J. Czuba, Piotr Bródka

    2022 IEEE 9th International Conference on Data Science and Advanced Analytics, DSAA’2022, 13-16 October, Shenzhen, China · 2022

  13. Improving cellular automata for distributed ledgers

    Piotr Macek, Daria Dziubałtowska, Bartosz Kuśmierz, Radosław W Michalski

    22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022, 16-19 May 2022, Taormina (Messina), Italy · 2022

  14. Temporal network epistemology: on reaching consensus in a real-world setting

    Michalski, Rados{\l}aw, Damian Serwata, Mateusz Nurek, Bolesław K. Szymański, Kazienko, Przemys{\l}aw, Tao Jia, Radosław Michalski, Przemysław Kazienko

    Chaos · 2022

  15. Sequential seeding in multilayer networks

    Piotr Bródka, Radosław W Michalski, Jarosław Jankowski

    Chaos · 2021

  16. Social networks through the prism of cognition

    Radosław W. Michalski, Bolesław Szymański, Przemysław Kazienko, Marcin Kulisiewicz, Christian Lebiere, Omar Lizardo

    Complexity · 2021

  17. Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales

    Tomasz Kajdanowicz, Piotr Bródka, Janusz Sobecki, Marcin Lewicki

    ICCS 2021 · 2021

  18. Revealing the character of nodes in a blockchain with supervised learning

    Radosław W. Michalski, Daria Dziubałtowska, Piotr Macek

    IEEE Access · 2020

  19. Effective influence spreading in temporal networks with sequential seeding

    Radosław W. Michalski, Piotr Bródka, Jarosław Jankowski

    IEEE Access · 2020

  20. Analysing and predicting the adoption of anonymous transactions in cryptocurrencies

    Radosław W. Michalski

    Business Information Systems Workshops · 2020