Life-Like Network Automata descriptor based on binary patterns for network classification
Abstract
We propose a descriptor based on binary patterns extracted from network-automata time-evolution patterns (TEP) aiming to characterize networks. More, in particular, we explore TEPs descriptors from the Life-Like Network Automata (LLNA), a cellular automaton inspired by the rules of the “Life-Like” family that uses a network as tessellation, and based on its dynamics to extract features for network characterization. In recent work, the LLNA has...
Paper Details
Title
Life-Like Network Automata descriptor based on binary patterns for network classification
Published Date
Apr 1, 2020
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