Using a combination of bibliometrics and social network analysis methods, co-authorship network o... more Using a combination of bibliometrics and social network analysis methods, co-authorship network of iMetrics was studied in the time spam of 1978-2014 and top researches in the field were identified. Then, the relationship between these researchers' productivity, performance, and centrality indicators was investigated. Out of 5944 studied records, researchers such as Leydesdorff L, Glanzel W and Rousseau R gained the higher centrality measures. There was a significant relationship between productivity and performance. Based on multivariate regression analysis, there was a significant relationship between degree centrality and betweenness centrality on one hand and productivity on the other hand. Centrality measures explained 58% of variance of performance.
<strong>هدف:</strong> هدف از این پژوهش، مروری نظاممند بر پژوهشهای انجام شده در زمی... more <strong>هدف:</strong> هدف از این پژوهش، مروری نظاممند بر پژوهشهای انجام شده در زمینه ضرورت به کارگیری فهرستنویسی اجتماعی در کتابخانهها و شناسایی خلأهای پژوهشی موجود است.<br /> <strong>روش/ رویکرد پژوهش: </strong>روش پژوهش مرور نظاممند و همچنین تحلیل محتواست. بدین منظور پژوهشهای مرتبط در 4 پایگاه اطلاعاتی در بازه زمانی 2005 تا 2016 مورد جستجو قرار گرفت و پس از 3 مرحله غربالگری تعداد 19 مورد از مرتبطترین آنها انتخاب شدند. سپس اهداف و نتایج پژوهشها با استفاده از روش تحلیل محتوا در قالب مقولات و خرده مقولات گروهبندی شدند و فراوانی هر کدام به دست آمد.<br /> <strong>یافتهها:</strong> در پژوهشهای مورد بررسی «بررسی همپوشانی و امکان همزیستی برچسبها و واژگان کنترل شده» بیش از سایر اهداف و «امکانسنجی کاربرد برچسبها در فهرستهای کتابخانهای» کمتر از سایر اهداف، مورد بررسی قرار گرفته است. از نظر روششناسی، «تحلیل محتوا» بیش از سایر روشها و «روش پیمایشی» کمتر از سایر روشها در پژوهشهای مورد استفاده قرار گرفته است. بیشترین پیشنهاد مطرح شده نیز «پیشنهاد تلفیق برچسبزنی با واژگان کنترل شده» میباشد.<br /> <strong>نتیجهگیری: </strong>اگر فهرستنویسی اجتماعی را به مفهوم همزیستی مسالمتآمیز واژگان کنترل شده در کنار برچسبهای اجتماعی و سایر ابردادههای کاربرساخته مد نظر قرار دهیم عمده پژوهشگران با تحول فهرستنویسی سنتی به فهرستنویسی اجتماعی نظر موافق دارند. اما اگر تصور ما از فهرستنویسی اجتماعی جایگزین کردن برچسبهای اجتماعی، یادداشتها و نقطهنظرات کاربران با فهرستنویسی سنتی باشد، اغلب پژوهشگران با آن مخالفند.
Introduction Nowadays, scientific collaboration is prevalent in various scientific disciplines. S... more Introduction Nowadays, scientific collaboration is prevalent in various scientific disciplines. Scientific collaboration has been resulted from knowledge complexity, increase in demand for more specialization, and interdisciplinary skills in research. It is a social phenomenon in research and has been studied systematically since the 1960s. Since then, some increase in the rate of scientific collaboration has been reported by various researchers. Social network analysis is used for describing the scientific collaboration patterns identified by co-authorship relations (Stefano, Giordano & Vitale, 2011). Scientists included in the collaboration networks share their ideas, use similar methods and techniques for extracting and analyzing research data and influence each other's works. As one of the most documented and tangible forms of scientific collaboration and the most formal manifestation of intellectual share among authors in producing scientific works, co-authorship is the col...
Background: Nowadays, due to the increased publication of articles in various scientific fields, ... more Background: Nowadays, due to the increased publication of articles in various scientific fields, identifying the publishing trends and emerging keywords in the texts of these articles is essential. Objectives: Thus, the present study identified and analyzed the keywords used in the published articles on medical librarianship and information. Methods: In the present investigation, an exploratory and descriptive approach was used to analyze librarianship and information articles published in specialized journals in this field from 1964 to 2019 by applying text mining techniques. The TF-IDF weighting algorithm was applied to identify the most important keywords used in the articles. The Python programming language was used to implement text mining algorithms. Results: The results obtained from the TF-IDF algorithm indicated that the words “Library”, “Patient”, and “Inform” with the weights of 95.087, 65.796, and 63.386, respectively, were the most important keywords in the published ar...
In order to build a complete structure of subjects areas in iMetrics, both types of keywords are ... more In order to build a complete structure of subjects areas in iMetrics, both types of keywords are included in this study. Application of hierarchical clustering analysis led to the formation of 11 s...
Purpose The purpose of this paper is to identify the top researchers in information behaviour (IB... more Purpose The purpose of this paper is to identify the top researchers in information behaviour (IB) based on ideational and social influence indicators. Design/methodology/approach The population included papers on IB indexed in the Web of Science from 1980 to 2015. UCINET and Bibexcel were the tools used for measuring the ideational and social influence indicators. The correlations among the study variables were measured by applying SPSS and LISREL. Findings There was a significant relationship between IB researchers’ productivity and performance, and between ideational influence and social influence. The structural equation modelling showed that a researcher with top placement in his/her co-authorship network can gain higher ideational influence. In total, it seems that the single and traditional criteria are increasingly replacing new and integrative ones in measuring researchers’ scientific influence in fields including IB studies. Results have shown that based on total scores of...
... The authors would like to thank Dr Fatemeh Nooshin Fard for her kind help in preparing the pa... more ... The authors would like to thank Dr Fatemeh Nooshin Fard for her kind help in preparing the paper. ...Panahi (2005) showed that 81.3 percent of users in the Ghadir Project obtained the member libraries&amp;amp;#x27; holdings via direct reference and only 18.3 percent by the use of OPACs for ...
International Journal of Nonlinear Analysis and Applications, 2020
False rumors and news are always published as purposeful approaches with social, economic, politi... more False rumors and news are always published as purposeful approaches with social, economic, political intents in order to provide false information and deceive people in the communities. This leads to a lack of trust in news and information. Differentiating real news from rumor has been considered as one of the most important aspects of news evaluation and different approaches have been used to identify and distinguish fake news from real one. Among them, the use of artificial intelligence and machine learning methods has been more important due to the successes achieved. Due to this advantage, the present study has attempted to use machine learning algorithms including SVM, k-NN, decision tree, random forest and MLP, to identify and classify fake and real news in the data set collected from Persian Twitter messenger. Based on the results of the confusion matrix implementation and functional evaluation of learning algorithms, it has been determined that Randomized decision trees and ...
The aim of this article was Comparative Study of National Union Catalog of Iran and World Based o... more The aim of this article was Comparative Study of National Union Catalog of Iran and World Based on Structure, the types of resources covered. Population of this study consists of 49 National Union catalogs of 32 countries, including Iran and the countries of three continents Europe, Asia and Oceania and America. Survey research method is descriptive and check list has been used to gather related data.The findings of the study show that more than half of the structure National Union Catalog of the European countries and Asia and Oceania are centralized and less than 50% of them are semi or decentralized. In Iran 100% of catalog structures are centralized and 100% of American countries’ are decentralized. Testing hypothesis proved that there is significant difference between the structured pattern of National Union Catalog in Iran and other countries. Notes the findings of the European Union and the National Asian Pacific have publications National Union Catalog of the continental cou...
Purpose: The purpose of this study was to investigate the relationship between factors affecting ... more Purpose: The purpose of this study was to investigate the relationship between factors affecting the performance of libraries and the components of customer relationship management (CRM). Method: The research uses a survey method. The study population was patrons of public libraries in Mazandaran province, Iran. The data collection instrument was questionnaire. Findings: The results showed that the correlation coefficient for the focal point variables for specific subjects, proper organization of processes, knowledge management, and technology were 0.682, 0.927, 0.900, and 0.810 respectively, indicating that the linear relationship between these variables is to improve the performance of libraries. In other words, the results of the research indicated that there is a direct linear relationship between CRM and library performance levels. Discussion and Conclusion: Customer relationship management elements seem to play a significant role in improving the level of library performance. ...
Among the topics studied in the context of scientometrics, the issue of the scholarly influence i... more Among the topics studied in the context of scientometrics, the issue of the scholarly influence is of special interest. This study tries to test the components in the scholarly influence model based on iMetrics studies, and also to find potential relations among these components. The study uses a bibliometric methodology. Since the researchers aim to determine the relationship between variables, this research is of correlation type. The initial data of this study, which comprises 5944 records in the field of iMetrics during 1978-2014, have been retrieved from Web of Science. To calculate the most of measures involved in each kind of influence, the researchers used UCINet and BibExcel software moreover, some indices have been calculated manually using Excel. After calculating all measures included in three types of influence, the researchers used the Smart PLS to test both the model and research hypotheses. The results of data analysis using the software Smart PLS confirmed the scholarly influence model and indicated significant correlation between the variables in the model. To be more precise, findings uncovered that social influence is associated with both ideational and venue influence. Moreover, the venue influence is associated with ideational influence. If researchers test the scholarly influence model in some other areas and led to positive outcomes, it is hoped that the policy-makers use a combination of variables involved in the model as a measure to evaluate the scholarly influence of researchers and to decision-makings related to purposes such as promotion, recruitment, and so on.
Using a combination of bibliometrics and social network analysis methods, co-authorship network o... more Using a combination of bibliometrics and social network analysis methods, co-authorship network of iMetrics was studied in the time spam of 1978-2014 and top researches in the field were identified. Then, the relationship between these researchers' productivity, performance, and centrality indicators was investigated. Out of 5944 studied records, researchers such as Leydesdorff L, Glanzel W and Rousseau R gained the higher centrality measures. There was a significant relationship between productivity and performance. Based on multivariate regression analysis, there was a significant relationship between degree centrality and betweenness centrality on one hand and productivity on the other hand. Centrality measures explained 58% of variance of performance.
<strong>هدف:</strong> هدف از این پژوهش، مروری نظاممند بر پژوهشهای انجام شده در زمی... more <strong>هدف:</strong> هدف از این پژوهش، مروری نظاممند بر پژوهشهای انجام شده در زمینه ضرورت به کارگیری فهرستنویسی اجتماعی در کتابخانهها و شناسایی خلأهای پژوهشی موجود است.<br /> <strong>روش/ رویکرد پژوهش: </strong>روش پژوهش مرور نظاممند و همچنین تحلیل محتواست. بدین منظور پژوهشهای مرتبط در 4 پایگاه اطلاعاتی در بازه زمانی 2005 تا 2016 مورد جستجو قرار گرفت و پس از 3 مرحله غربالگری تعداد 19 مورد از مرتبطترین آنها انتخاب شدند. سپس اهداف و نتایج پژوهشها با استفاده از روش تحلیل محتوا در قالب مقولات و خرده مقولات گروهبندی شدند و فراوانی هر کدام به دست آمد.<br /> <strong>یافتهها:</strong> در پژوهشهای مورد بررسی «بررسی همپوشانی و امکان همزیستی برچسبها و واژگان کنترل شده» بیش از سایر اهداف و «امکانسنجی کاربرد برچسبها در فهرستهای کتابخانهای» کمتر از سایر اهداف، مورد بررسی قرار گرفته است. از نظر روششناسی، «تحلیل محتوا» بیش از سایر روشها و «روش پیمایشی» کمتر از سایر روشها در پژوهشهای مورد استفاده قرار گرفته است. بیشترین پیشنهاد مطرح شده نیز «پیشنهاد تلفیق برچسبزنی با واژگان کنترل شده» میباشد.<br /> <strong>نتیجهگیری: </strong>اگر فهرستنویسی اجتماعی را به مفهوم همزیستی مسالمتآمیز واژگان کنترل شده در کنار برچسبهای اجتماعی و سایر ابردادههای کاربرساخته مد نظر قرار دهیم عمده پژوهشگران با تحول فهرستنویسی سنتی به فهرستنویسی اجتماعی نظر موافق دارند. اما اگر تصور ما از فهرستنویسی اجتماعی جایگزین کردن برچسبهای اجتماعی، یادداشتها و نقطهنظرات کاربران با فهرستنویسی سنتی باشد، اغلب پژوهشگران با آن مخالفند.
Introduction Nowadays, scientific collaboration is prevalent in various scientific disciplines. S... more Introduction Nowadays, scientific collaboration is prevalent in various scientific disciplines. Scientific collaboration has been resulted from knowledge complexity, increase in demand for more specialization, and interdisciplinary skills in research. It is a social phenomenon in research and has been studied systematically since the 1960s. Since then, some increase in the rate of scientific collaboration has been reported by various researchers. Social network analysis is used for describing the scientific collaboration patterns identified by co-authorship relations (Stefano, Giordano & Vitale, 2011). Scientists included in the collaboration networks share their ideas, use similar methods and techniques for extracting and analyzing research data and influence each other's works. As one of the most documented and tangible forms of scientific collaboration and the most formal manifestation of intellectual share among authors in producing scientific works, co-authorship is the col...
Background: Nowadays, due to the increased publication of articles in various scientific fields, ... more Background: Nowadays, due to the increased publication of articles in various scientific fields, identifying the publishing trends and emerging keywords in the texts of these articles is essential. Objectives: Thus, the present study identified and analyzed the keywords used in the published articles on medical librarianship and information. Methods: In the present investigation, an exploratory and descriptive approach was used to analyze librarianship and information articles published in specialized journals in this field from 1964 to 2019 by applying text mining techniques. The TF-IDF weighting algorithm was applied to identify the most important keywords used in the articles. The Python programming language was used to implement text mining algorithms. Results: The results obtained from the TF-IDF algorithm indicated that the words “Library”, “Patient”, and “Inform” with the weights of 95.087, 65.796, and 63.386, respectively, were the most important keywords in the published ar...
In order to build a complete structure of subjects areas in iMetrics, both types of keywords are ... more In order to build a complete structure of subjects areas in iMetrics, both types of keywords are included in this study. Application of hierarchical clustering analysis led to the formation of 11 s...
Purpose The purpose of this paper is to identify the top researchers in information behaviour (IB... more Purpose The purpose of this paper is to identify the top researchers in information behaviour (IB) based on ideational and social influence indicators. Design/methodology/approach The population included papers on IB indexed in the Web of Science from 1980 to 2015. UCINET and Bibexcel were the tools used for measuring the ideational and social influence indicators. The correlations among the study variables were measured by applying SPSS and LISREL. Findings There was a significant relationship between IB researchers’ productivity and performance, and between ideational influence and social influence. The structural equation modelling showed that a researcher with top placement in his/her co-authorship network can gain higher ideational influence. In total, it seems that the single and traditional criteria are increasingly replacing new and integrative ones in measuring researchers’ scientific influence in fields including IB studies. Results have shown that based on total scores of...
... The authors would like to thank Dr Fatemeh Nooshin Fard for her kind help in preparing the pa... more ... The authors would like to thank Dr Fatemeh Nooshin Fard for her kind help in preparing the paper. ...Panahi (2005) showed that 81.3 percent of users in the Ghadir Project obtained the member libraries&amp;amp;#x27; holdings via direct reference and only 18.3 percent by the use of OPACs for ...
International Journal of Nonlinear Analysis and Applications, 2020
False rumors and news are always published as purposeful approaches with social, economic, politi... more False rumors and news are always published as purposeful approaches with social, economic, political intents in order to provide false information and deceive people in the communities. This leads to a lack of trust in news and information. Differentiating real news from rumor has been considered as one of the most important aspects of news evaluation and different approaches have been used to identify and distinguish fake news from real one. Among them, the use of artificial intelligence and machine learning methods has been more important due to the successes achieved. Due to this advantage, the present study has attempted to use machine learning algorithms including SVM, k-NN, decision tree, random forest and MLP, to identify and classify fake and real news in the data set collected from Persian Twitter messenger. Based on the results of the confusion matrix implementation and functional evaluation of learning algorithms, it has been determined that Randomized decision trees and ...
The aim of this article was Comparative Study of National Union Catalog of Iran and World Based o... more The aim of this article was Comparative Study of National Union Catalog of Iran and World Based on Structure, the types of resources covered. Population of this study consists of 49 National Union catalogs of 32 countries, including Iran and the countries of three continents Europe, Asia and Oceania and America. Survey research method is descriptive and check list has been used to gather related data.The findings of the study show that more than half of the structure National Union Catalog of the European countries and Asia and Oceania are centralized and less than 50% of them are semi or decentralized. In Iran 100% of catalog structures are centralized and 100% of American countries’ are decentralized. Testing hypothesis proved that there is significant difference between the structured pattern of National Union Catalog in Iran and other countries. Notes the findings of the European Union and the National Asian Pacific have publications National Union Catalog of the continental cou...
Purpose: The purpose of this study was to investigate the relationship between factors affecting ... more Purpose: The purpose of this study was to investigate the relationship between factors affecting the performance of libraries and the components of customer relationship management (CRM). Method: The research uses a survey method. The study population was patrons of public libraries in Mazandaran province, Iran. The data collection instrument was questionnaire. Findings: The results showed that the correlation coefficient for the focal point variables for specific subjects, proper organization of processes, knowledge management, and technology were 0.682, 0.927, 0.900, and 0.810 respectively, indicating that the linear relationship between these variables is to improve the performance of libraries. In other words, the results of the research indicated that there is a direct linear relationship between CRM and library performance levels. Discussion and Conclusion: Customer relationship management elements seem to play a significant role in improving the level of library performance. ...
Among the topics studied in the context of scientometrics, the issue of the scholarly influence i... more Among the topics studied in the context of scientometrics, the issue of the scholarly influence is of special interest. This study tries to test the components in the scholarly influence model based on iMetrics studies, and also to find potential relations among these components. The study uses a bibliometric methodology. Since the researchers aim to determine the relationship between variables, this research is of correlation type. The initial data of this study, which comprises 5944 records in the field of iMetrics during 1978-2014, have been retrieved from Web of Science. To calculate the most of measures involved in each kind of influence, the researchers used UCINet and BibExcel software moreover, some indices have been calculated manually using Excel. After calculating all measures included in three types of influence, the researchers used the Smart PLS to test both the model and research hypotheses. The results of data analysis using the software Smart PLS confirmed the scholarly influence model and indicated significant correlation between the variables in the model. To be more precise, findings uncovered that social influence is associated with both ideational and venue influence. Moreover, the venue influence is associated with ideational influence. If researchers test the scholarly influence model in some other areas and led to positive outcomes, it is hoped that the policy-makers use a combination of variables involved in the model as a measure to evaluate the scholarly influence of researchers and to decision-makings related to purposes such as promotion, recruitment, and so on.
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