Construction of a context-based system using similarity graph analytics on start-ups' critical success factors

Abstract

Current research in the field of data-driven analysis of critical success factors of start-ups is based on similar methods and not always differentiating aggregations of data. This paper examines the current data models used to analyse critical success factors and presents a new data model / analysis technique (algorithm) based on contexts with related examples.