To read the full version of this content please select one of the options below:

Social network analysis of mythology field

Sümeyye Akça (Information and Records Management, Marmara University, Istanbul, Turkey)
Müge Akbulut (Information Management, Ankara Yildirim Beyazit University, Ankara, Turkey)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 28 May 2021

174

Abstract

Purpose

The main purpose of the study is to detect, monitor the mythology field and make predictions of the development of it using social network analysis metrics. Mythology, which is the subject of many disciplines, is an area with extensive working potential. In addition to basic bibliometric indicators, the relationships of this field, which cannot be seen by other methods, were analyzed using measures such as centrality, between, eigenvector, modularity and silhouette coefficients.

Design/methodology/approach

In this study, social network analysis of the field of mythology, which has an interdisciplinary structure, was made. Within the scope of the study, 28,370 publications were selected from the publications in the field of mythology in the Web of Science (WoS) citation database between 1900 and 2019 using the probability-based stratified sampling method (5%), and detailed analyzes were made on these publications. The aforementioned publications were analyzed in terms of publication and citation numbers, publication types, subject categories, keywords used, co-authorship, researchers with the highest number of publications, institutions and countries with the highest number of document co-citations.

Findings

The findings show that the field of mythology gathers around four main subjects (sociology, folklore, politics and anthropology). When interpreted in terms of centrality metrics in more detail, the symbiotic or complementary relationship between anthropology, folklore, politics, sociology and mythology can be easily observed.

Originality/value

The findings of this study are seen important for scientists, decision-makers and policymakers. In addition, the findings of the study can be used to create the curriculum of the field.

Keywords

Acknowledgements

The authors thank Dr. Yavuz Yeğin for his comments as an expert in the mythology field. The authors also thank editors and anonymous reviewers for their outstanding feedback.

Citation

Akça, S. and Akbulut, M. (2021), "Social network analysis of mythology field", Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-01-2021-0040

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

Related articles