Source avec lien : Safety Science, 136, avril 2021. 10.1016/j.ssci.2020.105148
Les performances de résilience sont influencées par des interactions sociales de plusieurs types, qui peuvent être analysées comme des couches de réseaux entrecroisés. La combinaison de ces couches donne naissance à un « réseau de réseaux », également connu sous le nom de réseau multicouche. Cette étude présente une approche pour développer et interpréter les réseaux multicouches à la lumière de l’ingénierie de la résilience. Les couches correspondent aux quatre capacités des systèmes résilients : surveiller, anticiper, réagir et apprendre.
Resilient performance is influenced by social interactions of several types, which may be analysed as layers of interwoven networks. The combination of these layers gives rise to a “network of networks”, also known as a multilayer network. This study presents an approach to develop and interpret multilayer networks in light of resilience engineering. Layers correspond to the four abilities of resilient systems: monitor, anticipate, respond, and learn. The proposal is applied in a 34-bed intensive care unit. To map relationships between actors in each layer, a questionnaire was devised and answered by 133 staff members, including doctors, nurses, nurse technicians, and allied health professionals. Two multilayer networks were developed: one considering that actors are 100% available and reliable (work-as-imagined) and another considering suboptimal availability and reliability (work-as-done). The multilayer networks were analysed through actor-centred (Katz centrality, degree deviation, and neighbourhood centrality) and layer-centred metrics (inter-layer correlation, and assortativity correlation). Strengths and weaknesses of social interactions at the ICU are discussed based on the adopted metrics.