Journal of Knowledge-Research Studies

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

Document Type : Original Article

Authors

1 Assistant Professor,, Department of Knowledge and Information Science, Razi University, Iran

2 Master of of Knowledge and Information Science, Central Library, Razi University, Kermanshah,

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.

Keywords

Main Subjects

References
Ahmadi, H. ,& Osareh, F. (2016). An Overview of the Functions of Co-word analysis. Librarianship And Information Organization Studies, 28 (1), 125-145. [In Persian].
Ahmadi, H., Salimi, A., & Zangishehei, A. (2013). clustering and knowledge map of scientific productions of comparative literature in Iran. Research in Comparative Literature, 3(11), 1-28.[In Persian].
Alzafari, K. (2017). Mapping the literature structure of ‘quality in higher education’using co-word analysis. Quality in HigHer education, 23(3), 264-282.‏ https://doi.org/ 10.1080/13538322.2017.1418607
Anthony, A. (2007, October). Data clustering with a relational push-pull model. In Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007) (pp. 189-194). IEEE.‏
Davari, M., Ziaie, S., & Gharebaghloo, V. (2022). The Intellectual Structure of Knowledge in the Field of the Digital Library: a Co-Word Study. Library and Information Science Research, 12(2), 29-53. doi: 10.22067/infosci.2022.68914.1013[In Persian].
De la Hoz-Correa, A., Muñoz-Leiva, F., & Bakucz, M. (2018). Past themes and future trends in medical tourism research: A co-word analysis. Tourism management, 65, 200-211.‏https://doi.org/ 10.1016/j.tourman.2017.10.001
Emami, M., Riahinia, N., & Soheili, F. (2020). Mapping the Scientific Structure of Medical and Laboratory Equipment with Using the Co-occurrence Analysis. Scientometrics Research Journal, 6(1), 41-56. doi: 10.22070/rsci.2018.696 [In Persian].
Geraei, E., Farshid, R., & Faraji, F. (2021). Co-word analysis in nursing science. Caspian Journal of Scientometrics, 8(1), 44-57.‏ URL: http:// Doi:10.22088/cjs.8.1.44 [In Persian]. 
 Ghazizadeh, H., Soheili, F., & Khasseh, A. A. (2018). Mapping Knowledge Structure of Quran and Hadith Studies in Iran: A Co-Word Analysis. Scientometrics Research Journal, 4(2), 101-122. doi: 10.22070/rsci.2018.615.[In Persian]
Moomivand, H., Hasni Ahangar, M. R., Tahmasab Kazemi, B., Saleh Nejad, S. A., & kameli, B. (2022). Drawing and Creating the knowledge map of the field of commercialization based on the Co-word analysis of articles indexed in the Web Of Science. Organizational Knowledge Management,2(5), 77-110. 20.1001.1.26454262.1401.5.2.3.9 [In Persian].
Khoeini, S., Noruzi, A., Jozi, Z., & Mostafavi, I. (2022). Co-word Analysis of Scientific Outputs in the Field of Bibliotherapy in Web of Science. Caspian Journal of Scientometrics, 9(1), 13-28.‏ https://doi.org/ 10.22088/cjs.9.1.13[In Persian].
Leydesdorff L. (2010). Eugene Garfield and algorithmic historiography: co-word, co-authors, and journal Nams. Annals of Library and Information Studies, 57 (3),248-260.
Liu, G. Y., Hu, J. M., & Wang, H. L. (2012). A co-word analysis of digital library field in China. Scientometrics, 91(1), 203-217.‏ https://doi.org/10.1007/s11192-011-0586-4
Neville, J., Adler, M., & Jensen, D. (2003, August). Clustering relational data using attribute and link information. In Proceedings of the text mining and link analysis workshop, 18th international joint conference on artificial intelligence (pp. 9-15).‏
Osareh, F., Heydari, G., Zare Farashbandi, F., & Haji Zain Al Abdini, M. (2009). From bibliometrics to web metrics: An analysis of the basics, views, rules and indicators. Ketabdar. [In Persian]
Rahimi, S., Soheili, F., & Sharafi, N. (2022). Knowledge Structure of Iranian Higher Education Studies based on co-word Network Analysis in ISC Database. Journal of higher education curriculum studies, 12(24), 313-331. [In Persian].
Shen, L., Xiong, B., & Hu, J. (2017). Research status, hotspots and trends for information behavior in China using bibliometric and co-word analysis. Journal of Documentation, 73(4), 618-633.‏ https://doi.org/ 10.1108/JD-10-2016-0125
Sohaili, F., Khase, A., & Koranian, P. (2016). Map Intellectual Structure of Knowledge and  Science in Iran based on Co-word Analysis. Information processing and management  , 34 (4), 1905-1938. doi: 10.35050/JIPM010.2019.026. [In Persian]
Taşkın, Z. (2021). Forecasting the future of library and information science and its sub-fields. Scientometrics, 126(2), 1527-1551.‏ https://doi.org/ 10.1007/s11192-020-03800-2
Whittaker, J. (1989). Creativity and conformity in science: Titles, keywords and co-word analysis. Social Studies of Science, 19(3), 473-496.‏  http://dx.doi.org/10.1177/030631289019003004
Zhu, X., & Zhang, Y. (2020). Co-word analysis method based on meta-path of subject knowledge network. Scientometrics, 123(2), 753-766.‏ https://doi.org/ 10.1007/s11192-020-03400-
Journal of Knowledge-Research Studies
Volume 2, Issue 3 - Serial Number 5
December 2023
Pages 31-49
Files
Share
How to cite
Statistics