Metabolomics datasets are the outcome of biochemical events ruled by enzymatic reactions. All these reactions, and related substrates and products, can be gathered in a single mathematical object called a metabolic network. In this webinar, we will discuss how these networks are built, how we can model them into mathematical formalism (graph) and how we can use these graphs to provide biochemical insight on metabolic fingerprints. We will also show that network analysis can be included in the metabolite identification process.