227 citations · 794 across the 65 of their papers we have counts for
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A Benchmarking Framework for Network Classification Methods
Joao V. Merenda, Gonzalo Travieso, Odemir M. Bruno
Network classification plays a crucial role in the study of complex systems, impacting fields like biology, sociology, and computer science. In this research, we present an innovat…
Network classification through random walks
Gonzalo Travieso, Joao Merenda, Odemir M. Bruno
Network models have been widely used to study diverse systems and analyze their dynamic behaviors. Given the structural variability of networks, an intriguing question arises: Can…
Using deterministic tourist walk as a small-world metric on Watts-Strogatz networks
Joao V. Merenda, Odemir M. Bruno
The Watts-Strogatz model (WS) has been demonstrated to effectively describe real-world networks due to its ability to reproduce the small-world properties commonly observed in a va…
Exploring ordered patterns in the adjacency matrix for improving machine learning on complex networks
Mariane B. Neiva, Odemir M. Bruno
The use of complex networks as a modern approach to understanding the world and its dynamics is well-established in literature. The adjacency matrix, which provides a one-to-one re…
A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata
Kallil M. C. Zielinski, Lucas C. Ribas, Jeaneth Machicao +1
Network modeling has proven to be an efficient tool for many interdisciplinary areas, including social, biological, transport, and many other real world complex systems. In additio…