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

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Fabian Broszat
Milan Fekete

Keywords

context-based critical success factors, graph databases, graph analytics, context-based analysis

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.

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