551 citations
- China Medical UniversityTW12 papers
- China Medical University HospitalTW12 papers
- Complexity Science HubAT12 papers
- University of MariborSI12 papers
- Universidade Estadual de MaringáBR8 papers
- Kyung Hee UniversityKR4 papers
- Federal Police of BrazilBR3 papers
- Universidade Estadual de Ponta GrossaBR3 papers
- Universidade Federal do Rio Grande do SulBR3 papers
- HUN-REN Centre for Energy ResearchHU2 papers
- Nottingham Trent UniversityGB2 papers
- Universidade Tecnológica Federal do ParanáBR2 papers
12 papers
Interplay between particle trapping and heterogeneity in anomalous diffusion
Haroldo V. Ribeiro, Angel A. Tateishi, Ervin K. Lenzi +2
Heterogeneous media diffusion is often described using position-dependent diffusion coefficients and estimated indirectly through mean squared displacement in experiments. This app…
Complexity of the COVID-19 pandemic in Maringa
Andre S. Sunahara, Arthur A. B. Pessa, Matjaz Perc +1
While extensive literature exists on the COVID-19 pandemic at regional and national levels, understanding its dynamics and consequences at the city level remains limited. This stud…
Deep Learning Criminal Networks
Haroldo V. Ribeiro, Diego D. Lopes, Arthur A. B. Pessa +6
Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a s…
Age and market capitalization drive large price variations of cryptocurrencies
Arthur A. B. Pessa, Matjaz Perc, Haroldo V. Ribeiro
Cryptocurrencies are considered the latest innovation in finance with considerable impact across social, technological, and economic dimensions. This new class of financial assets…
Oppressed species can form a winning pair in a multi-species ecosystem
Attila Szolnoki, Matjaz Perc
The self-protection of alliances against external invaders is a key concept behind the maintenance of biodiversity in the face of natural selection. But since these alliances, whic…
Machine Learning Partners in Criminal Networks
Diego D. Lopes, Bruno R. da Cunha, Alvaro F. Martins +5
Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of criminal networks…