The complex and diffuse nature of the human dimension, typical of social studies, makes it challenging to identify and represent in models. In this article, we combine structural analysis, word clouds and co-occurrence networks based on bibliometric information, to analyze the role of human dimension in modeling of energy systems and to discover key variables and current perspectives. The methodology proved useful for a quick analysis around the studied object, being recommended for projects or research in exploratory or preliminary stages. Result around human dimension, suggests the human dimension is a concept that encompass a broad set of variables, including social and environmental variables, but also represent any human intervention in the modeling process. Current research efforts focused on identifying or characterizing the factors of the human dimension, being normally represented in models as outputs or indicator.