فهرست مطالب الهام اسمعیل پونکی

The increasing growth of Ontology Studies in the world has created the need to target scientific research in this field; By using various scientometrics techniques, the status of these studies should be investigated and studied from different points of view. This study aimed to analyze bibliometrics and co-authorship networks, and thematic clusters of ontology studies in the Scopus database during 1996-2020.

This study in terms of purpose is an applied and descriptive scientometrics, which has been done methodologically with co-word analysis and network analysis. The collected data (on December 10, 2020) were analyzed using Excel software. To analyze the data, VOSviewer, Pajek, and UCINet Software were used.

The bibliometric study and analysis of the co-authorship network and thematic clusters of ontology studies in the Scopus database indicates that 0.91% of the articles in this field are written in English and Since 2002, the scientific productions of this field have started their growth period and in 2012, they have reached their growth period. "Expert Systems with Applications" Journal with the publication of 101 articles, the “Journal of Web Semantics” with 80 articles, and “Semantic Web” with 74 articles, are considered the core Journals for the researchers of the Ontology field.  The field of computer science with 3941 articles has the largest share in scientific productions. Zhejiang University with the production of 69 articles (1.32%), Academy of Sciences Research Center and Universidad de Murcia with the production of 68 (1.30%) and 66 articles (1.26%), respectively, are among the most productive research centers in the field of ontology.  R. Valencia-García with 27 articles (0.51%) J.T. Fernández-Breis with 26 articles (0.49%) and M. Dumontier with 23 articles (0.44%) are among the most productive researchers in the field of ontology in the world. the most cooperation in the production of ontology research has been done by the countries of China, the United States, and the United Kingdom. In the study of the co-occurrence network of the Ontology field in the Scopus database, 5 topic clusters were identified which include the semantic web, ontology infrastructure, machine learning, linked data in the data web, and semantic description framework the semantic web cluster is the largest. In terms of the centrality index, Zhang, Y. with a centrality score of 74, Li, J. with a centrality score of 62, and Wang, Y. with a centrality score of 54 are in the first to third ranks. Also, in terms of the closeness centrality index, Stellato, A. with a centrality score of 5640 had the highest degree of closeness. According to the centrality index, Decker, S. with a centrality score of 7037.317, Horrocks, I. with a centrality score of 6686.898, and Wang, Z. with a centrality score of 6217.040 are in a good position in the network. In terms of the centrality index of the special vector, Valencia-García, R. with a centrality score of 1, Garcia Sanchez, F. with a centrality score of 0.868, and Colomo-Palacios, R. with a centrality score of 0.798 were ranked first to third.

Drawing maps of the scientific structure of different disciplines, including ontology, can be useful from different points of view. The analysis of the field of ontology can help researchers to know the scientific limits and boundaries, the general understanding of the scientific structure for beginners, and the choice of the research field, and it can also serve as a guide map for researchers and decision-makers in the field of existence. Science should be used to identify the priorities of research and adapt it to the future needs of society.

In recent years, the increasing growth of entrepreneurship research has created the need to target scientific research in this field in the country and also in the entrepreneurship faculty of Tehran University. By using various scientometric techniques, the status of these studies should be examined and studied from different viewpoints. So this study aims to analyze the structure of social network co-occurrence and Co-authorship of scientific documents produced by researchers of the Faculty of Entrepreneurship of the University of Tehran in the Scopus database during the years 2008 to 2020.

This study in terms of purpose is an applied and descriptive scientometrics, which has been done methodologically with co-word analysis and network analysis. The collected data (on September 10, 2020, corresponding to September 20, 2019) were analyzed using Excel software. VOSviewer software was used to draw the maps and UCINet software was used to analyze social networks using centrality metrics.

Findings show that a total of 236 scientific documents has been indexed by researchers of the Faculty of Entrepreneurship of the University of Tehran in the Scopus database, that all these documents are presented in English and in 5 different types, that the Journal articles rank first with 176 records in the Scopus database. Since 2014, scientific productions in this field have started their growth period and in 2018, they have reached their growth period. "Contributions to Management Science" Journal with the publication of 20 articles, the "Iranian Entrepreneurship: Deciphering the Entrepreneurial Ecosystem in Iran and in the Iranian Diaspora" Journal with 14 articles and the International Journal of Entrepreneurship and Small Business with 11 articles, considered as the core Journals for the researchers of the Faculty of Entrepreneurship of Tehran University. In terms of the number of citations, the articles have had an upward and favorable trend since 2015 and the H index calculated in the Scopus database in the field of entrepreneurship in a 13-year period shows the number 17. The most cooperation in the production of this research has been with the United Kingdom, Australia, and Denmark. Seyed Mojtabi Sajjadi, Mohammad Reza Zali, Afsana Bagheri, and Aydin Salamzadeh have the most scientific products, respectively. In the study of the co-occurrence network of entrepreneurship field in the Scopus database, 13 topic clusters were identified, which are the largest clusters, respectively, "supply chain management", "multi-criteria decision management" and "organizational entrepreneurship". the supply chain management cluster is the largest cluster. In terms of the centrality index, Seyed Mojtabi Sajjadi with a centrality score of 42, Mohammad Reza Zali with a centrality score of 25, and Kambiz Talebi with a centrality score of 20 are in the first to third ranks. Also, in terms of the closeness centrality index, Mohammad Azizi with a centrality score of 909, Kayhan Taj-aldini with a centrality score of 909, and Nader Seyed Amiri with a centrality score of 901 had the highest degree of closeness. According to the centrality index, Kambiz Talebi with a centrality score of 095.1405, Seyed Mojtabi Sajjadi with a centrality score of 968.1312, and Jahangir Yadalhi Farsi with a centrality score of 224.758 are in a good position in the network. In terms of the centrality index of the special vector, Seyed Mojtabi Sajjadi with a centrality score of 1, Mohammad Reza Zali with a centrality score of 57.0, and Nizamuddin Faqih with a centrality score of 493.0 were ranked first to third.

Since the Faculty of Entrepreneurship can play an active role in the economic growth of the country and increase the employment rate through self-employment, more attention should be paid to this field and active researchers and its thematic trends.

The purpose is to analyze the structure of social network Co-occurrence and Co-authorship in quality of life using social network analysis indicators in the Clarivate analytics WoS database.

This research is a scientometric study and has been done using co-occurrence and co-authorship analysis. Social network analysis (SNA) was used to obtain an understanding of the nodes on quality of life areas. MESH subject heading was used to extract related terms on quality of life. The population included 1421 documents which were extracted from Clarivate analytics WoS from 2000 to 2017. Descriptive statistics and Scientometric methods have been used to analyze the data.

The results showed that among researchers, Montazeri has been the most prolific author with 97 documents. Among the Institutions, Tehran University of Medical Sciences with 831 documents ranked first. The total documents for the year 2014 were 284 documents, the area in this research was internal and general medicine with 235 documents, and among documents, the highest type of documents was related to articles with 1111 records. In the study of co-occurrence network in the field of quality of life, 9 thematic clusters were identified: Motor Control (109), Obesity (54), Lifestyle (53), Meta-analysis (52), Risk factors (39), Women (33), Risk (20), Eating (13) and Coronary disease (13). The Motion Control cluster is the largest cluster, accounting for 84% of the total network volume.

The results of the co-occurrence analysis show that this area consists of 9 clusters, the top three clusters were Motor Control, Obesity, and Lifestyle.  Analysis of centrality indicators shows that most of the top-ranking authors are mainly working at the top universities of the country, and the top authors are mostly concentrated on the universities located in the capital rather than the other cities. Also, the study of macro indicators of co-authorship network shows that this structure is considered as a Small-world network due to its average short path length (2.77), network diameter equal to 5, and relatively high clustering coefficient (3.75).

This study aims to survey co-authoring patterns and subject trends of scientific documents in the Web and Science database during the years 1970 to 2019 produced by psychology researchers of public universities in Tehran.

The present study is a scientometric study that has been done with the methods of co-word analysis and network analysis   research. The collected data were analyzed using Excel software. Also, for analyzing the social network of universities in scientific products in the field of psychology, UCINet network analysis software was used and thematic maps were drawn using VOSviewer software.

The findings of the study show a total of 1007 documents have been indexed by psychology researchers of the University of Tehran, Shahid Beheshti, Allameh Tabatabai, Al-Zahra and Tarbiat Modares,  respectively, in the web science database. Most collaborations in the  production of outputs have been done with Islamic Azad Universities, Tehran Medical Sciences and the University of Tennessee and the  countries of America, Australia and the United Kingdom. Besharat, Ghorbani, Ghobari Bonab have the most scientific productions,    respectively.

Conclustion: 

The results of social network analysis of vocabulary  concepts show that the highest indicators of the centrality of studies of five universities in Tehran are related to marital satisfaction, health    psychology, learning and memory, psychiatric disorders, and child abuse.

To examine terminology chaos in the domain of information management through checking reference sources: Persian subject heading, Persian Cultural Thesaurus (Asfa), Descriptive dictionary of information science and related areas and Online Dictionary for Library and Information Science (ASIS).
Content analysis. To collect data, vocabulary in information, information management, information retrieval and all their hypertext words in ODLIS were searched and their Persian equivalents were examined in 4 reference sources.
The most similarities exist between Descriptive dictionary of information science and related areas and ASIS (55.88%) and the most differences found between Descriptive dictionary of information science and related areas and Persian Cultural Thesaurus (Asfa) (85.3%).
Since reference sources of knowledge and information science are often used by experts and researchers, there needs to be a more consistency among their words to avoid any confusion, misunderstanding and misinterpretation.

The new millennium is called Information Age, in which information and communication technologies have been developed. The transfer from industrial society to information society has changed the form and level of education and information from those of the past times. In the past, literacy meant the ability of reading and writing, but today the meaning of literacy has been changed through the time and such a type of literacy is not enough to meet people’s needs in the industrial society of the 21st century. Today’s life requires media and information literacy especially for the students, whose duty is to research and who have a significant role in the development of their country from any perspective. This research aims to study the relation between the media literacy and information literacy of the students of the fields of communication science and information science and knowledge. This is an applied research in terms of its objective and uses a survey-correlation method. The statistical population of this research consists of the postgraduate students studying in the fields of study of information science and knowledge and communication science at Tehran University and Allameh Tabatabai University. The data required for this research were collected by a researcher-made questionnaire. The reliability of the questionnaire has been evaluated by Cronbach’s Alpha, which was equal to 0.936. The data were analyzed using descriptive and inferential statistic methods. The results showed that the level of media literacy and information literacy of students is desirable. There is a significant relationship between the economic status of students and their media literacy. However, the social status of students was directly related to their "ability to communicate" variable of media literacy. Also the Pearson correlation test showed a significant relationship between the variables of media literacy and information literacy.

The aim search was to investigate the relationship between media literacy and information literacy of students of communication and information sciences and knowledge studies, and its impact on their entrepreneurial ability.
This is a survey correlational method. Population consists of postgraduate students in information science and knowledge and communication sciences at Tehran and Allameh Tabatabai University. Data was collected from two sources: library documents and questionnaires. First, library method was used to examine the theoretical foundations of media literacy, information literacy and entrepreneurship. Then, by careful examination of literature - based on the research model - a questionnaire created and distributed. Data was analyzed by Independent One-Sample t-Test and Spearman Rank Correlation Coefficient.
Findings showed that the level of media literacy and information literacy of students is desirable and the level of characteristics of entrepreneurship is relatively desirable.
There is a significant relationship between the economic status of students and their media literacy. However, the social status of students was directly related to their "ability to communicate" variable of media literacy. Also the Pearson Correlation test showed a significant relationship between the variables of media literacy and information literacy. The impact of information literacy on entrepreneurial ability was confirmed and the impact of media literacy on entrepreneurial ability was rejected.