Background:Scientific work on the social dimensions of Flow seems to be increasing, but it is currently very fragmented. Moreover, most of them do not know each other. This is why it seems important to identify, collect and make available to the entire scientific community a corpus of academic papaers via a freely accessible database.Aims:Our objective is to implement and optimize a generic method for identifying and classifying articles after lexical analysis of abstracts.Methods:We have made a request over the last 20 years with the following keywords and logical connectors: "team flow" OR "collective flow" OR "shared flow" OR "social flow" AND ("optimal experience" OR "challenge skill balance") -"cerebral flow" -"workflow centrality" -"viscous" -"fluid" -"hydrodynamic" -"collision" -"anisotropic" We were thus successful in identifying 376 papers.Results:The firstTop-Down Hierarchical Clustering of vocabulary of all these abstracts highlight 4 main classes: (1) the different contexts of flow study in groups, (2) theoretical models used for flow study in groups (3) the effects of flow in groups and (4) the human consequences of flow in groups. The correspondence factor analysis allows in particular to identify very clearly the main authors related to each of these 4 classes.Conclusion:The development and optimization of this method will make it possible to strengthen the literature reviews and scoping reviews of researchers and PhD students. It can be a way to federate an international research network on the social dimensions of the optimal experience.