Abstract

Law can be considered as a complex dynamical system evolving from network structures. Potential interactions at various scales can generate unpredictable effects. This objective complexity based on non-linear dynamics exists in any system: it can be just observed. We propose here guidelines to develop two measures of complexity in systems related to these dynamics. The first one - a structure-based measure - involves the network analysis of text organization and quotations in a given corpus. The second one - a content-based measure - relies on some evaluation of the diversity of legal outputs generated by any system. Anchored in the innermost part of a system, its construction appeals to various fundamentals of Legal Theory. It is also shown that these two measures are representatives of larger classes of complexity measures. Some potential uses of these measures are then briefly discussed.

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