Temporal link prediction in social networks based on agent behavior synchrony and a cognitive mechanism
Mateusz Nurek, Radosław W Michalski, Yueran Duan, Qing Guan, Petter Holme
IEEE 2025
2025
Profil
Radosław Michalski
Profesor uczelni
Grupy badawcze
Wykształcenie
2006
magister informatyki
Politechnika Wrocławska
2014
doktor informatyki
Politechnika Wrocławska
2022
doktor habilitowany w dyscyplinie informatyka techniczna i telekomunikacja
Politechnika Wrocławska
Publikacje(61)
RGBChem: image-like representation of chemical compounds for property prediction
Rafał M. Stottko, Radosław W Michalski, Bartłomiej Szyja
Journal of Chemical Theory and Computation 2025 vol. 21, nr 10, s. 5322-5333.
2025
Towards a performance characteristic curve for model evaluation: An application in information diffusion prediction
Radosław W Michalski, Wenjin Xie, Xiaomeng Wang, Tao Jia
Expert Systems with Applications 2025 vol. 270, art. 126482, s. 1-9.
2025
Blockchain transaction data mining and its applications
Radosław W Michalski, Jiajing Wu, Hong-Ning Dai, Qi Xuan, Xi Chen
IET Blockchain. 2024, vol. 4, nr 3, s. 223-225. [ Publikacja zarejestrowana jako preonline dn. 19.08.2024, rok zaliczenia 2024. Wersja ostateczna zarejestrowana 09.09.2024, rok zaliczenia 2024.]
2024
Measuring the influence of the network structure for the vote propagation in the cellular automata consensus
Daria Dziubałtowska, Radosław W Michalski
Danvers, MA : IEEE, cop. 2024. s. 756-758.
2024
Network Diffusion Framework to simulate spreading processes in complex networks
Michał J. Czuba, Mateusz Nurek, Damian Serwata, Radosław W Michalski, Piotr Bródka, Yu-Xuan Qiu, Mingshan Jia, Katarzyna Musiał
Big Data Mining and Analytics
2024
A perspective on the ubiquity of interaction streams in human realm
Damian Serwata, Mateusz Nurek, Radosław W Michalski
Cham : Springer Nature Switzerland AG, cop. 2024. s. 353-367.
2024
The role of conformity in opinion dynamics modelling with multiple social circles
Stanisław Jakub Stępień, Piotr Bródka, Radosław W Michalski, Jarosław Jankowski
Cham : Springer, cop. 2023. s. 33-47.
2023
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 vol. 11, s. 8492-8503.
2023
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 An Interdisciplinary Journal of Nonlinear Science
2022
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 vol. 206, art. 117693, s. 1-13.
2022
Improving cellular automata for distributed ledgers
Piotr Macek, Daria Dziubałtowska, Bartosz Kuśmierz, Radosław W Michalski
Piscataway, NJ : IEEE, cop. 2022. s. 814-819.
2022
Sequential seeding in multilayer networks
Piotr Bródka, Radosław W Michalski, Jarosław Jankowski
Chaos 2021 vol. 31, art. 033130, s. 1-12.
2021
Social networks through the prism of cognition
Radosław W. Michalski, Bolesław Szymański, Przemysław Kazienko, Marcin Kulisiewicz, Christian Lebiere, Omar Lizardo
Complexity
2021
Effective influence spreading in temporal networks with sequential seeding
Radosław W. Michalski, Piotr Bródka, Jarosław Jankowski
IEEE Access
2020
Analysing and predicting the adoption of anonymous transactions in cryptocurrencies
Radosław W. Michalski
Cham : Springer Nature Switzerland, cop. 2020. s. 132-144.
2020
Dru: studying blockchain as a complex network
Radosław W. Michalski, Marcin Pieczka
Piscataway, NJ : IEEE, cop. 2020. s. 929-932.
2020
Entropy-based measure for influence maximization in temporal networks
Radosław W. Michalski, Jarosław Jankowski, Patryk Pazura
Cham : Springer, cop. 2020. s. 277-290.
2020
A dynamic Vote-Rank based approach for effective sequential initialization of information spreading processes within complex networks
Radosław W Michalski, Patryk Pazura, Kamil Bortko, Jarosław Jankowski
Cham : Springer, cop. 2020. s. 638-651.
2020
Combining machine learning and social network analysis to reveal the organizational structures
Mateusz Nurek, Radosław W Michalski
Applied Sciences
2020
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