Inferring interactions in multispecies communities: The cryptocurrency market case.

ABSTRACT: We introduce a general framework for empirically detecting interactions in communities of entities characterized by different features. This approach is inspired by ideas and methods coming from ecology and finance and is applied to a large dataset extracted from the cryptocurrency market. The inter-species interaction network is constructed using a similarity measure based on the log-growth rate of the capitalizations of the cryptocurrency market. The detected relevant interactions are only of the cooperative type, and the network presents a well-defined clustered structure, with two practically disjointed communities. The first one is made up of highly capitalized cryptocurrencies that are tightly connected, and the second one is made up of small-cap cryptocurrencies that are loosely lin

SUBMITTER: Brigatti E 

PROVIDER: S-EPMC10503730 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature