Document Type : Original Research Paper

Authors

1 Assistant Professor, National Research Institute for Science Policy (NRISP), Tehran, Iran

2 PhD Student, Information Retrieval, University of Tehran, Tehran, Iran

Abstract

Science visualization techniques can give us better understanding of the structure and patterns of scientific activities. The purpose of this article is to create the co-occurrence network of words and concepts found in indexed articles written by authors active in the field of sociology, in Islamic World Science Citation Database. the goal was to study the level of activity among researchers in sociology and to provide an overview of the hot topics in this field. this research falls under the category of applied research. Utilizing the scientometrics approach, Data was visualized and analyzed using network analysis techniques. The research community includes all sociology journal articles indexed ISC from 1390 to 1400. The analysis of the findings revealed that the thematic network of Iranian sociology has high coherence and the topics of women's studies and religion are the main topics in the Iranian sociology, and based on the indicators of the network analysis, it has high betweenness centrality. To enhance the diversity of Iranian sociology more focus should be placed on neglected areas such as sports sociology medical sociology, and rural sociology. It is important that the scientific network of sociology articles be visualized in future studies. To track changes in publication themes over time. sociological journals could also consider publishing special issues on the neglected fields highlighted in this paper.

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