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      Surveying 80 Years of Psychodrama Research: A Scientometric Review

      systematic-review

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          Abstract

          Almost a century after Jacob Levy Moreno pioneered the group practice of psychodrama, research in this area has flourished to include different sub-fields of study and psychodramatic intervention for various psychological conditions. By making use of scientometric analysis, particularly document citation analysis and keyword analysis, this study maps out dominant research domains in psychodrama since its inception. From these findings, projections of future research trends and an evaluation of psychodrama research are discussed. Generally, there has been an increased adoption of technology to facilitate psychodrama practice, along with an increasing integration of psychodramatic principles with other psychotherapies. To improve research in this area, this paper recommends greater transparency in the reporting of materials, processes and data used in publications. Finally, we encourage embracing new technological methods such as neuroimaging to provide greater insight into mechanisms of change in psychodrama. The field of psychodrama remains full of potential and innovations to be developed.

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          Most cited references137

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          Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

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            Modularity and community structure in networks

            M. Newman (2006)
            Many networks of interest in the sciences, including social networks, computer networks, and metabolic and regulatory networks, are found to divide naturally into communities or modules. The problem of detecting and characterizing this community structure is one of the outstanding issues in the study of networked systems. One highly effective approach is the optimization of the quality function known as "modularity" over the possible divisions of a network. Here I show that the modularity can be expressed in terms of the eigenvectors of a characteristic matrix for the network, which I call the modularity matrix, and that this expression leads to a spectral algorithm for community detection that returns results of demonstrably higher quality than competing methods in shorter running times. I illustrate the method with applications to several published network data sets.
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              A Set of Measures of Centrality Based on Betweenness

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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                15 November 2021
                2021
                : 12
                : 780542
                Affiliations
                [1] 1Psychology Program, School of Social Sciences, Nanyang Technological University , Singapore, Singapore
                [2] 2Department of Psychology and Cognitive Science, University of Trento , Rovereto, Italy
                [3] 3Centre for Research and Development in Learning (CRADLE), Nanyang Technological University , Singapore, Singapore
                [4] 4Lee Kong Chian School of Medicine, Nanyang Technological University , Singapore, Singapore
                [5] 5Office of Educational Research, National Institute of Education , Singapore, Singapore
                Author notes

                Edited by: Takeshi Terao, Oita University, Japan

                Reviewed by: Hikaru Hori, Fukuoka University, Japan; Nobuko Kawano, Oita University, Japan

                This article was submitted to Psychological Therapies, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2021.780542
                8634339
                34867562
                6ddea180-a629-424a-92e0-3552003d5fb1
                Copyright © 2021 Lim, Carollo, Chen and Esposito.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 September 2021
                : 13 October 2021
                Page count
                Figures: 2, Tables: 8, Equations: 0, References: 139, Pages: 13, Words: 11039
                Funding
                Funded by: Nanyang Technological University, doi 10.13039/501100001475;
                Funded by: Ministry of Education - Singapore, doi 10.13039/501100001459;
                Categories
                Psychiatry
                Systematic Review

                Clinical Psychology & Psychiatry
                psychodrama,moreno,scientometry,systematic review,document co-citation,psychotherapy,keyword analysis

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