Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Michalski Radosław"'
Understanding the mechanisms behind opinion formation is crucial for gaining insight into the processes that shape political beliefs, cultural attitudes, consumer choices, and social movements. This work aims to explore a nuanced model that captures
Externí odkaz:
http://arxiv.org/abs/2406.19204
Temporality, a crucial characteristic in the formation of social relationships, was used to quantify the long-term time effects of networks for link prediction models, ignoring the heterogeneity of time effects on different time scales. In this work,
Externí odkaz:
http://arxiv.org/abs/2406.06814
Autor:
Czuba, Michał, Nurek, Mateusz, Serwata, Damian, Qiu, Yu-Xuan, Jia, Mingshan, Musial, Katarzyna, Michalski, Radosław, Bródka, Piotr
With the advancement of computational network science, its research scope has significantly expanded beyond static graphs to encompass more complex structures. The introduction of streaming, temporal, multilayer, and hypernetwork approaches has broug
Externí odkaz:
http://arxiv.org/abs/2405.18085
Publikováno v:
LNCS vol. 10475, pp. 33-47, ISSN 0302-9743, 2023, Springer
Interaction with others influences our opinions and behaviours. Our activities within various social circles lead to different opinions expressed in various situations, groups, and ways of communication. Earlier studies on agent-based modelling of co
Externí odkaz:
http://arxiv.org/abs/2403.04480
The information diffusion prediction on social networks aims to predict future recipients of a message, with practical applications in marketing and social media. While different prediction models all claim to perform well, general frameworks for per
Externí odkaz:
http://arxiv.org/abs/2309.09537
Autor:
Rola, Monika, Zielonka, Jacek, Smulik-Izydorczyk, Renata, Pięta, Jakub, Pierzchała, Karolina, Sikora, Adam, Michalski, Radosław
Publikováno v:
In Redox Biochemistry and Chemistry December 2024 10
Autor:
Michalski, Radosław, Serwata, Damian, Nurek, Mateusz, Szymanski, Boleslaw K., Kazienko, Przemysław, Jia, Tao
Publikováno v:
Chaos 32, 063135 (2022)
This work develops the concept of temporal network epistemology model enabling the simulation of the learning process in dynamic networks. The results of the research, conducted on the temporal social network generated using the CogSNet model and on
Externí odkaz:
http://arxiv.org/abs/2203.05368
One important task in the study of information cascade is to predict the future recipients of a message given its past spreading trajectory. While the network structure serves as the backbone of the spreading, an accurate prediction can hardly be mad
Externí odkaz:
http://arxiv.org/abs/2110.06836
Autor:
Smulik-Izydorczyk, Renata, Pięta, Jakub, Michalski, Radosław, Rola, Monika, Kramkowski, Karol, Artelska, Angelika, Zielonka, Jacek, Sikora, Adam Bartłomiej
Publikováno v:
In Redox Biochemistry and Chemistry June 2024 8
Autor:
Szala, Marcin, Grzelakowska, Aleksandra, Michalski, Radosław, Dębowska, Karolina, Modrzejewska, Julia, Adamczyk, Magda, Siarkiewicz, Przemysław, Sikora, Adam, Zielonka, Jacek, Podsiadły, Radosław
Publikováno v:
In Dyes and Pigments March 2024 222