Co-word Analysis of Scientific Outputs in the Field of Bibliotherapy in Web of Science
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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Background and aim

Scientometric studies are one of the most efficient methods of scientific evaluation in a valid scientific database. Therefore, the aim of this study was to analyze the co-word analysis of scientific outputs in the field of bibliotherapy in the Web of Science (WoS).

Materials and methods

This scientometric study was conducted using library methods and network analysis. The statistical population of this study included all documents indexed in the WoS with the subject of bibliotherapy from 1975 to 2020. Data were analyzed using Excel, Pajek, UCINET, Netdraw and VOSviewer softwares.

Findings

The results showed that the scientific outputs in the field of bibliotherapy had no appropriate growth rate, and the growth rate of the total scientific outputs in this field was 3%. The field of "psychology" was the most active one with the production of 49% of bibliotherapy studies. Based on the study of the co-word network in the field of bibliotherapy, six thematic clusters were identified. The "Bibliotherapy for children" cluster with 1013 keywords was recognized as the largest cluster, and the "Bibliotherapy" keyword with 543 frequencies was the most frequent keyword. The "Bibliotherapy" and "Depression" keywords with 153 frequencies had the most co-word occurrence. The network density was 1.26. Moreover, the keywords of bibliotherapy, depression and self-help had the highest rank centrality (100, 85.417 and 82.292), betweenness centrality (11.194, 5.378 and 4.310) and closeness centrality (100, 87.273 and 84.956), respectively.

Conclusion

The trend of bibliotherapy studies was poor, and the medical fields had not paid much attention to its use in the treatment of diseases. Therefore, it is necessary for health policy makers to take the necessary plans to improve and strengthen bibliotherapy studies in all areas.

Language:
Persian
Published:
Caspian Journal of Scientometrics, Volume:9 Issue: 1, 2022
Pages:
13 to 28
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