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
Profile
Mateusz Nurek
Alumni PhD
Mateusz Nurek is a PhD Student at the Department of Artificial Intelligence, Wroclaw University of Science and Technology. His research area includes network science and machine learning. Mateusz is primarily interested in using computational intelligence to study social aspects; therefore, his current research focuses on problems such as the classification of human relationships or predicting personality traits based on communication patterns.
Research interests
- Network Science
- Social Networks Analysis
- Machine Learning
Research groups
Education
- 2017
B.Eng. in Computer Science
Silesian University of Technology
- 2019
MsC in Computer Science
Wroclaw University of Science and Technology
Publications6
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
Springer Nature Switzerland AG
2024
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
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
Combining machine learning and social network analysis to reveal the organizational structures
Mateusz Nurek, Radosław W Michalski
Applied Sciences
2020