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Social network analysis of mythology field
Library Hi Tech ( IF 1.623 ) Pub Date : 2021-05-28 , DOI: 10.1108/lht-01-2021-0040
Sümeyye Akça , Müge Akbulut

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.



中文翻译:

神话领域的社交网络分析

目的

该研究的主要目的是利用社交网络分析指标来检测、监控神话领域并对其发展进行预测。神话学是许多学科的研究对象,是一个具有广泛工作潜力的领域。除了基本的文献计量指标外,还使用中心性、介于、特征向量、模块性和轮廓系数等度量来分析该领域的关系,这是其他方法无法看到的。

设计/方法论/途径

在这项研究中,对具有跨学科结构的神话领域进行了社会网络分析。研究范围内,采用基于概率的分层抽样方法(5%)从Web of Science(WoS)引文数据库中神话领域的出版物中选取了1900年至2019年间的28,370篇出版物,并进行了详细分析是根据这些出版物制作的。对上述出版物的出版物和被引次数、出版物类型、主题类别、使用的关键词、共同作者、出版物数量最多的研究人员、文献同被引次数最多的机构和国家等方面进行了分析。

发现

研究结果表明,神话领域围绕着四个主要学科(社会学、民俗学、政治学和人类学)。当更详细地解释中心性指标时,可以很容易地观察到人类学、民俗学、政治学、社会学和神话之间的共生或互补关系。

原创性/价值

这项研究的结果对于科学家、决策者和政策制定者来说非常重要。此外,研究结果可用于创建该领域的课程。

更新日期:2021-05-28
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