omid alipour; Faramarz Soheili; Soraya Ziaei; Ali Akbar Khasseh
Abstract
Purpose: Knowledge Organizing is one of the oldest and most basic topics in Library and information science Whose main domain is immutable over time; However, the environment in which the organization operates has changed dramatically and will continue to change. Published research often describes only ...
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Purpose: Knowledge Organizing is one of the oldest and most basic topics in Library and information science Whose main domain is immutable over time; However, the environment in which the organization operates has changed dramatically and will continue to change. Published research often describes only certain aspects that show only a partial picture of the perspective of its knowledge organization research. In fact, it is difficult for researchers to get an overview of this field by reviewing such articles. Scientometric methods are expected to help meet this need. This study aims to investigate the centrality indicators in the co-authorship network of Persian articles in the field of knowledge organization.Methodology: This research is an applied type that has done with the approach of scientometrics and analysis of social networks. The research data were selected from 106 keywords of his knowledge organization in the title field, which were selected after consultation with subject matter experts in this field; Together with all the articles published in selected journals of information science and epistemology indexed in the Islamic World Science Citation center from 1378 to 1398. Finally, the retrieved records were limited to research papers, conference papers, and review papers and limited to the subject of Library and information filed. Out of 1482 authors who were involved in the publication of 1410 articles, 168 with at least 4 articles were analyzed using UCINET software. After that, a square matrix of dimensions 168 by 168 was formed,
Interactive Retrieval
Mehri Shahbazi; Faramarz Soheili; Nasrin Gahvareh; Ali Akbar Khasseh
Abstract
Purpose: The main purpose of this study was to determine the relationship between personality traits with digital literacy skills of librarians in public libraries in Kermanshah province.Method: The type of research was applied and its method was survey-analytical. To collect data, two McCree and Costa ...
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Purpose: The main purpose of this study was to determine the relationship between personality traits with digital literacy skills of librarians in public libraries in Kermanshah province.Method: The type of research was applied and its method was survey-analytical. To collect data, two McCree and Costa personality traits questionnaire and digital literacy skills were used. The statistical population of this research consists of 170 librarians of public libraries in Kermanshah province and the sample size is 118 people, which was obtained through Morgan's table. Data analysis was done with descriptive and inferential statistics using SPSS software.Fiding:The value of the correlation coefficient between personality traits and digital literacy skills is positive and equal to 0.48, indicating that these two variables have a strong correlation. Regarding the other hypotheses of the research, the correlation coefficient of the traits of neuroticism, extroversion, adaptability, experientiality and conscientiousness with digital literacy skills is positive and according to the slope of the regression line in the scatter diagram, extroversion, experientiality, conscientiousness, adaptability and neuroticism, respectively, are the most have had the least impact in this field.Conclusion: The research results confirm the relationship between personality traits and digital literacy skills among librarians and on this basis it is concluded that to empower librarians it is necessary to pay attention to personality traits and promote to librarians digital literacy.
Ali Akbar Khasseh; Heidar Mokhtari; Mahere Asheghi Moaf
Abstract
Nowadays, bibliometrics has been an interdisciplinary field with all scientific fields as its scope. The present study is related to the scientometric study of articles in information retrieval produced in Iran from the beginning of the topic in Persian papers to 2019. This research was an applied research ...
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Nowadays, bibliometrics has been an interdisciplinary field with all scientific fields as its scope. The present study is related to the scientometric study of articles in information retrieval produced in Iran from the beginning of the topic in Persian papers to 2019. This research was an applied research which has been done using scientometric techniques such as citation analysis and co-word analysis. The data required for this research have been extracted from the "Islamic World Science Citation" database. The statistical population was 395 articles in the field of information retrieval, which was analyzed using "BibExcel," "VOSviewer," and " Excel" software packages. Some inconsistencies in author names and keywords have been tried to be unified. There was an increasing trend in published papers and received citations. Highly-cited and most influential authors in the field are well-known in the field. "Rahmatullah Fattahi" is in the first place with 11 articles and 16 citations. 77.72% of the articles have been authored in groups (two or more authors) and the two-authored approach with 154 articles has the most co-authorship approach. Six hundred twenty-six authors participated in writing the articles, which were repeated 923 times in various articles. The largest co-authorship network consists of 27 nodes (authors). "Najla Hariry," "Farideh Osareh," and "Saeed Rezaei Sharifabadi" have the highest score in terms of the centrality of rank, intermediate, and closeness among other researchers, respectively. The keywords "information retrieval," "search engines" and "internet" were the most frequently used keywords in the field of information retrieval. The word pairs of "recall - retrieval accuracy" and "Internet - search engines" were the first and second most frequent pairs of co-occurring-word pairs, respectively. Thematic clustering of articles in this field indicates the existence of eight subject clusters: "search, processing and evaluation information," "Storage and retrieval in information systems," "information behavior," "indexing," "information management and Scientometrics," "search engines," "precision and recall" and "information literacy." Co-authorship network showed that authors in the field tended to author with collaborating each other. Considerable items on information retrival have been published in Persian The acceptance of the co-authorship approach in the production of scientific works in information retrieval indicates the willingness of authors to write co-authored research. However, considering that 54.9% of the authors of this study did not receive the H index, the authors should make more efforts to produce quality articles. The largest cluster of this research is the "search, processing and evaluation information" cluster, which indicates the importance of this issue in information retrieval, and the smallest cluster is the "information literacy" cluster, which needs further research in this research field. The study helps authors identify hot topics and highly-considered subjects in information retrieval and provide a pattern for conducting scientometric analyses in similar fields.
