A bibliometric analysis of 10 years of research on symptom networks in psychopathology and mental health: supplementary material
Authors/Creators
- 1. School of Psychology, Personality, Evaluation and Clinical Psychology Department, Complutense University of Madrid, Spain
- 2. School of Psychology, Psychobiology and Methodology in Behavioral Sciences Department, Complutense University of Madrid, Spain
- 3. Department of Computer Systems and Software Engineering National Distance Education University, Madrid, Spain
Description
This is the supplementary material used for the article: A bibliometric analysis of 10 years of research on symptom networks in psychopathology and mental health.
It includes the query used, the documents retrieved from WOS, documents added following the procedure described in the methodology section and the definitive database in scimat format (https://sci2s.ugr.es/scimat/).
Network analysis is a relatively new statistical technique for understanding the dynamic interactions between psychopathological symptoms. This article aims to analyze the research literature on network analysis in psychopathology and mental health for the last ten years. Statistical descriptive analysis was complemented with two bibliometric techniques: performance analysis and co-word analysis.