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A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata
Network modeling has proven to be an efficient tool for many interdisciplinary areas, including social, biological, transport, and many other real world complex systems.
An optimized shape descriptor based on structural properties of networks
The proposed approach accounts for a more robust set of structural measurements, that improved the discriminant power of the shape descriptors.
Authorship Attribution Based on Life-Like Network Automata
Remarkably, we have found a dependence of pre-processing steps (such as the lemmatization) on the obtained results, a feature that has mostly been disregarded in related works.
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