The continuously increasing amount of legal text data demands efficient and effective methods for the handling of the information contained in these legal texts. This paper unveils network structures in legal texts: explicit networks induced by legal references, and implicit networks based on semantic similarities between norms, both extracted by algorithms we developed. We perform these network analyses on a concrete German law: the Germany Civil Code (BGB). The networks are visualized as graphs and first steps towards a comparison of the two networks are presented.
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