Networks of information token recurrences derived from genomic sequences may reveal hidden patterns in epidemic outbreaks: A case study of the 2019-nCoV coronavirus.

Markus Luczak-Roesch

Transcendental Information Cascades (TICs) are a method that first transforms any kind of sequential data into a network of recurring information tokens, to then exploit this network as a kind of analytical middle ground between views to the source data that would otherwise only be accessible individually through distinct analytical frameworks [16, 17] . The approach falls into the category of contemporary approaches that make use of network theory for the study of dynamical complex systems [4, 19, 21] . In the field of phylogenetic and phylogeographic analysis our approach can be compared to haplotype networks for example [1, 18] but with the benefit that the resulting network preserves access to temporal patterns at both macroscopic (e.g. whole generation time periods) and microscopic (e.g. short time period bursts) resolution.