{"id":85624,"date":"2020-06-09T23:22:17","date_gmt":"2020-06-09T21:22:17","guid":{"rendered":"https:\/\/territorialchallenges.com\/?p=85624"},"modified":"2020-06-09T23:22:17","modified_gmt":"2020-06-09T21:22:17","slug":"lecons-tirees-des-micro-reseaux-pour-la-crise-covid-19","status":"publish","type":"post","link":"https:\/\/territorialchallenges.com\/de\/2020\/06\/09\/lecons-tirees-des-micro-reseaux-pour-la-crise-covid-19\/85624\/","title":{"rendered":"Lehren aus Mikronetzen f\u00fcr die COVID-19-Krise"},"content":{"rendered":"

Trevor Gionet ist Algorithmenwissenschaftler und Kay Aikin leitet Introspective Systems, ein Unternehmen, das technologische L\u00f6sungen zur Verwaltung komplexer Systeme entwickelt und xGraph-Software zur Datenanalyse anbietet. In diesem Beitrag erkl\u00e4ren sie, wie die Abflachung der COVID-19-Kurve sehr daran erinnert, das Netzwerk mit\u2026 zu verwalten. <\/p>\n

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Trevor Gionet est un scientifique sp\u00e9cialiste des algorithmes et Kay Aikin, dirige Introspective Systems, une soci\u00e9t\u00e9 qui d\u00e9veloppe des solutions technologiques pour g\u00e9rer des syst\u00e8mes complexes et propose le logiciel xGraph, pour analyser les donn\u00e9es. Dans cette contribution, ils expliquent comment l’aplatissement de la courbe COVID-19 ressemble beaucoup \u00e0 la gestion du r\u00e9seau avec les... <\/p>\n

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