ABSTRACT
This chapter presents the Lean Brain-Organizational biological transversal paradigm by blending brain network analysis methods so as to provide a novel set of organizational design analytics called Lean connectomics. Mimicking its brain counterpart, Lean connectomics presents the Lean organizational connectome in three different scales of aggregation: microscale, mesoscale, and macroscale. At a microscale, Ramon y Cajal depicted the neuron as the cornerstone of neuroscience. Mesoscale analysis of the brain connectome has the advantage of smoothing out micro-grained variability and therefore allows for functional pattern recognition and more robust, less time-dependent analysis. When the Lean organizational networks described by Lean connectomics share certain properties, they can be considered complex networks. Three key performance indicators form a triumvirate when describing complex networks: average path length, clustering coefficient, and degree distribution. Many properties of complex networks depend on the value of the degree exponent.
