From classical graph theory to the analysis of large networks
DOI:
https://doi.org/10.2436/20.2002.01.109Keywords:
graph theory, probabilistic method, graph limits, random graphs, pseudorandomnessAbstract
Graph theory currently plays a fundamental role both in pure mathematics and in its applications in many branches of knowledge. In this paper we will retrace the evolution of the research area starting from its origins, through the major discoveries in the discipline, especially those related to the interaction with the notion of randomness. Finally, our journey will conclude by discussing
some of the current trends in the theory, which seek to fit the notion of discrete (inherent to graph theory) into the realm of continuous mathematics with the aim of addressing the systematic study of the large networks existing in the real world, among other major challenges.
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