Mapping and Analysis Knowledge Structure of Hawraman Research in Iran: A Co-word Analysis and Information Clustering

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Purpose

The purpose of this research is to analyze the knowledge structure of Hawraman research in Iran.

Methodology

This study employed content analysis techniques, specifically co-word analysis and information clustering. The research community encompassed all scientific outputs from the beginning until 2022.

Findings

The findings indicate a significant growth in research on Hawraman over the past two decades, with over 15 geographical areas being studied. Co-word analysis revealed more than 1500 concepts or keywords mentioned, with "Hawraman," "Tourism," "local architecture," and "Hawrami dialect" being the most frequently used concepts. Notably, the conceptual pairs "Hawraman-tourist attractions," "Hawraman-history," and "Hawraman-Palangan" exhibited the highest co-occurrences. Additionally, clustering analysis uncovered 15 main clusters within the field's knowledge. Furthermore, the analysis of conceptual maps showed extensive relationships between concepts, indicating a dense network of interconnected ideas.

Conclusion

The Hawraman region has gained substantial attention from researchers due to its unique environmental conditions and UNESCO registration. Consequently, there has been a surge in research, leading to the exploration of numerous concepts. This research provides a comprehensive overview of the current state of Hawraman research and sheds light on the key issues being investigated.Value: This study represents the first attempt at analyzing research data for an area in western Iran.

Language:
Persian
Published:
نشریه مطالعات دانش پژوهی, Volume:2 Issue: 3, 2023
Pages:
31 to 49
https://www.magiran.com/p2693200  
سامانه نویسندگان
  • Hamid Ahmadi
    Corresponding Author (1)
    Assistant Professor Knowledge and Information Science, Razi University, Kermanshah, Iran
    Ahmadi، Hamid
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