Intellectual Structure of Relevance Articles in Information Retrieval field in Web of Science Database (2009-2018)

Document Type : Original Article


1 Ph.D. Student in Knowledge and Information Science, Faculty of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran

2 Professor, Department of Knowledge and Information Science, Faculty of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran.


Aim:This research attempts to reveal the intellectual structure of “Relevance” articles in order to identify the top authors, countries and topical clusters, via co-word, co-author, and science visualization tools.
Methodology:This is application research which is conducted by scientometric methodology. Population comprises 2530 records in the field of Relevance during 2009-2018, which had been retrieved from Web of Science. PreMap software is used for homogenization of words, and VOSviewer, and Bibexcel are used for science visualization.
Finding:Findings indicate that the most articles were published in 2015 with 293 titles. The scientific map of co-authorship led to creation of 6 clusters. The top authors in scientific
co-authorship were Huang, Jose, De rijke, Zuccon, Song, and Scholer. The top countries in scientific co-authorship were USA, China, England, Canada, India, and France. Use of co-word analysis led to the creation of 6 topical clusters in the field of Relevance, including among others: Information retrieval, Search engines, and Relevance feedback.
Conclusion:The upward trend of scientific outputs in the field of Relevance during recent years indicates the increasing importance of this field in Library and Information Science. The results indicate that the researchers as well as studying the general and traditional principles of Relevance field have not been unaware of new developments in this field and studied both of them at the same time.


Main Subjects

Ahmadi, H. & Osareh, F. (2017). Co-word Analysis Concept, Definition and Application. Journal of National Studies on Librarianship and Information Organization, 28(1): 125-145. [In Persian]
Arguello, J.; Choi, B. & Capra, R. (2018). Factors Influencing Users’ Information Requests. ACM Transactions on Information Systems, 36(4): 1-37.
Danialy, S. & Naghshineh, N. (2018). Research Trend Analysis and Knowledge Mapping Of Active Research in Domain of Image Retrieval Based on Web of Science Indexed Papers during 2001-2012. Scientometrics Research Journal, 4(7): 119-142. [In Persian]
Ding, Y.; Chowdhury, G.G. & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing & Management, 37(6): 817-842.
Fattahi, R.; Danesh, F. & Soheili, F. (2011). A Study of the global status of scientific productions of Ferdowsi University of Mashhad during 1990-2010 within the Web of Science with the aim of University Scientific Mapping. Library and Information Science Research (LISRJ), 1(1): 161-183. [In Persian]
González-Teruel, A.; González-Alcaide, G.; Barrios, M. & Abad-García, M.F. (2015). Mapping recent information behavior research: An analysis of co-authorship and co-citation networks. Scientometrics, 103(2): 687-705.
Hazeri, A.; Tavakolizadeh Ravari, M. & Ebrahimi, V. (2015). A Study of Subject Overlap between the Main Categories of Knowledge Management within the Web of Science. Iranian Journal of Information Processing & Management, 30(4): 997-1023. [In Persian]
Hjorland, B. (2010). The Foundation of the Concept of Relevance. Journal of the American Society for Information Science and Technology, 61(2): 217-237.
Hu, C.P.; Hu, J.M.; Deng, S.L. & Liu, Y. (2013). A co-word analysis of Library and Information Science in China. Scientometrics, 97(2): 369-382.
Khazaneha, M.; Heaidary, G. & Mostafavi, I. (2019). Structural Analyzing of Information Science Theories based on Co-word Network Analysis of Articles in Web of Science Database (1983-2017). Iranian Journal of Information Processing & Management, 34(3): 1051-1076. [In Persian]
Moon, S. (2015). A Study on the Utility of Relevance/Non-relevance Information in Homogeneous Documents. Journal of the Korean Society for information Management, 32(3): 277-293.
Olmeda-Gómez, C.; Ovalle-Perandones, M.A. & Perianes-Rodríguez, A. (2017). Co-word analysis and thematic landscapes in Spanish information science literature, 1985-2014. Scientometrics, 113(1): 195-217.
Osareh, F.; Ahmadi, H.; Heaidary, G. & Hoseini Beheshti, M. (2017). Conceptual mapping of Intellectual Structure of knowledge in the field of scientometrics in Iran. Journal of Librarianship and Information science studies,9(3): 1-20. [In Persian]
Rorissa, A. & Yuan, X. (2012). Visualizing and mapping the intellectual structure of information retrieval. Information processing & management, 48(1): 120-135.
Soheili, F.; Shabani, A. & Khasseh, A.A. (2015). Intellectual Structure of Knowledge in Information Behavior: A Co-Word Analysis. Human Information Interaction, 2(4): 21-36.
[In Persian]
White, H.D. (2017). Relevance theory and distributions of judgments in document retrieval. Information Processing & Management, 53(5):1080-1102.
Yari Zanganeh, M.; Hariri, N. & Babalhavaeji, F. (2016). Study of Emotional Aspects of Information Search and Retrieval on the Web: Text research and Scientific Mapping. Iranian Journal of Information Processing & Management, 31(4): 953-979. [In Persian]
Zhang, J.; Zhao, Y.; Cai, X.; Le, T.; Fei, W. & Ma, F. (2020). A Comparison of Retrieval Result Relevance Judgments between American and Chinese Users. Journal of Global Information Management, 28(3): 148-168.