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</script>We propose an analysis of the codified Law of France as a structured system. Fifty two legal codes are selected on the basis of explicit legal criteria and considered as vertices with their mutual quotations forming the edges in a network which properties are analyzed relying on graph theory. We find that a group of 10 codes are simultaneously the most citing and the most cited by other codes, and are also strongly connected together so forming a "rich club" sub-graph. Three other code communities are also found that somewhat partition the legal field is distinct thematic sub-domains. The legal interpretation of this partition is opening new untraditional lines of research. We also conjecture that many legal systems are forming such new kind of networks that share some properties in common with small worlds but are far denser. We propose to call "concentrated world".
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, [SHS.DROIT] Humanities and Social Sciences/Law, Computer Science - Artificial Intelligence, graph theory, concentrated world, concentrated world., FOS: Physical sciences, [MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM], Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), Artificial Intelligence (cs.AI), legal corpus, codification, Legal systems, network analysis
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, [SHS.DROIT] Humanities and Social Sciences/Law, Computer Science - Artificial Intelligence, graph theory, concentrated world, concentrated world., FOS: Physical sciences, [MATH.MATH-GM] Mathematics [math]/General Mathematics [math.GM], Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), Artificial Intelligence (cs.AI), legal corpus, codification, Legal systems, network analysis
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 30 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
