A simplicial epidemic model for COVID-19 spread analysis.

ABSTRACT: Networks allow us to describe a wide range of interaction phenomena that occur in complex systems arising in such diverse fields of knowledge as neuroscience, engineering, ecology, finance, and social sciences. Until very recently, the primary focus of network models and tools has been on describing the pairwise relationships between system entities. However, increasingly more studies indicate that polyadic or higher-order group relationships among multiple network entities may be the key toward better understanding of the intrinsic mechanisms behind the functionality of complex systems. Such group interactions can be, in turn, described in a holistic manner by simplicial complexes of graphs. Inspired by these recently emerging results on the utility of the simplicial geometry of complex n

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10769830 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature