BUILDING A KEYWORDS CO-OCCURRENCE MAP ON THE TOPIC «HEALTH CAPITAL» IN THE VOSVIEWER PROGRAM

Relevance. Bibliometric analysis using network analysis methods is an actively developing scientific research area. Its methods and software tools contribute to progress in understanding how scientific disciplines develop. VOSviewer is an open software product that can be used to build bibliometric maps (networks) of various types (citation, co-authorship, co-occurrence, co-citation, etc.). Bibliometric analysis of the co-presence (cooccurrence) of keywords (simultaneous presence of keywords in different publications) allows building a map of keywords, which can be considered, under certain assumptions, as a model of the knowledge structure in the analyzed area. The objective of this study is to build a keyword map of the research field on the topic «health capital» based on the data of the Web of Science database, as well as to analyze the process of building a bibliometric network of keywords co-occurrence in the VOSviewer program. Methods: bibliometric analysis with methods of network analysis. The materials of the Web of Science database were used as an empirical basis for the study (57853 publications found by the words of health and capital and downloaded in spring 2022 in files of 500 publications each in full record format). To build a keyword map, the VOSviewer program, version 1.6.19, was used. Results. At the first stage, when constructing a keyword map based on the entire array of 57853 publications without preliminary data processing (data cleaning), five clusters were identified and analyzed. At the second stage, a keyword map was built based on 3000 most relevant publications with data processing (data cleaning through the construction of a thesaurus). As a result, keywords that characterize different types of capital (social capital, human capital, cultural capital, psychological capital) are identified and analyzed. Conclusions. Keyword mapping can be done as a preliminary step before conducting a systematic review, since such a preliminary analysis of the field of study through keywords guides and accelerates the process of literature review on the desired scientific topic. Such a map – a network of keywords – helps to enhance the coverage of theories, concepts, approaches by visualizing the keywords of the research field. The example presented in the work on the topic «Health capital» shows that even with «raw» (uncleaned) data, clusters can be built, which, thanks to the visual representation of the research field through keywords, contribute to the building further research steps. The bibliometric analysis of the keywords co-occurrence made it possible to present a structural model of the knowledge in the domain of the research topic of health capital, i. e. (1) to map thematic clusters; (2) build temporal networks to analyze the evolution of knowledge in the chosen scientific field; (3) to identify different types of capitals, within which the health capital is further analyzed and a systematic literature review is elaborated.