Artificial Intelligence for Complex Network: Potential, Methodology and Application

arXiv:2402.16887v1 Announce Type: cross
Abstract: Complex networks pervade various real-world systems, from the natural environment to human societies. The essence of these networks is in their ability to transition and evolve from microscopic disorder-where network topology and node dynamics intertwine-to a macroscopic order characterized by certain collective behaviors. Over the past two decades, complex network science has significantly enhanced our understanding of the statistical mechanics, structures, and dynamics underlying real-world networks. Despite these advancements, there remain considerable challenges in exploring …

abstract application artificial artificial intelligence arxiv collective cs.ai cs.lg cs.si dynamics environment human intelligence methodology natural network networks node physics.soc-ph systems topology transition type world