فهرست مطالب افسانه حاضری

The triple helix model measures the interactions between university, industry, and government and is used by researchers as a normative framework to understand the interactions between the main actors in innovation systems. The main goal of the current research is to analyze the dynamics of organizational interactions in the production of scientific articles in the field of electrical and electronic engineering in Iran. Therefore, this research tries to quantitatively assess the status of inter-organizational cooperation in scientific articles in the field of electrical and electronic engineering in Iran with the approach of the triple helix model.
The current research is of an applied type, which was conducted using the Triple Helix Model and based on the T(UIG) indicator for University-Industry-Government interactions. The statistical population of the research includes 19,802 scientific articles indexed in the Web of Science database, from Iran in the field of Electrical and Electronic Engineering, during 2010-2019. TH software was used to convert data that was extracted from the Web of Science database into Excel format and to calculate the uncertainty of the interactions of the elements. In order to make a proper analysis in this regard, first, based on the usual and common research process of this field, the university was considered with code U, the industry with code I, and the government with code G.
The findings of the research showed that the number of articles has grown in the studied period and reached 3216 articles in 2019 from 1019 articles in 2010. The findings show that the production of articles in all three pillars has an upward growth and the growth rate of articles from 2010 to 2019 is 0.63 for university, 2.5 for industry and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010 and the lowest level of government-industry interactions, which was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has taken place, and the opposite is true for tripartite relationships, and in 2010, the highest degree of triple interaction between university-industry-government pillars is observed. Based on the values of T index, the highest amount of double and triple interactions between university-government, university-industry-government, university-industry, and industry-government have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent.
The findings showed that the number of articles has grown in the studied period, reaching 3216 articles in 2019 from 1019 articles in 2010. The results also show that the production of articles in all three pillars has an upward growth which the growth rate of articles from 2010 to 2019 is 0.63 for universities, 2.5 for industry, and 1.8 for government; On the other hand, the highest level of cooperation between the university and the industry has taken place, and the lowest level of cooperation has been between the government and the industry. The findings showed that the highest level of university-government interactions was in 2010, and the lowest level of government-industry interactions was close to zero in most years, indicating the independence and lack of connection between the mentioned elements. One of the remarkable results is that in the years 2010-2019, the interaction between the university and the industry was in contrast with the dual interaction between the university and the government. University-industry interaction has been aligned with industry-government interaction during the years under review. In 2014, the interaction between the dual and triple pillars was zero, while the university-industry interaction reached its highest level this year. Also, in 2014, the highest level of interaction between university-industry dual pillars has been taken place, and the opposite is true for tripartite relationships. In 2010, the highest degree of triple interaction between university-industry-government pillars is observed. Based on the values of the T index, the highest amount of double and triple interactions between university-government, university-industry-government, university-industry, and industry-government have been seen, respectively. In 2014, the interaction of the dual and triple pillars was close to zero, but this year, the interaction between the university and the industry has increased a lot, which indicates that the government does not invest in the industry, and in other words, wherever the role of the government becomes weaker, The role of industry is more prominent.

The launch of a national innovation system in many countries stems from the flow of ideas and skills between universities, research centers and the economic sectors of society. Attention to the relationship between university, government, industry and other elements in the production of science and technology has led to the design of multiple helical models; models that are based on the mutual information approach and information entropy and are able to measure the interactions of agents from different sectors in converting science into technology. This study examined the cooperations between university, industry, government and international society sectors in publishing scientific articles in the field of electrical and electronic engineering in Iran, using a Quadruple Helix Model approach. Statistical population included the articles of the field of electrical and electronic engineering of Iran, which have been indexed in the Web of Science database during the years 2010-19 and contains 19802 records. According to the findings, the highest T indicator of university-industry-government-international society sector relations is appeared in 2017 and in 2011 this indicator showed a negative trend. Results reveal that in general, cooperation between the pillars of the model during the ten-year period under study has been associated with a lot of fluctuations and the interaction between the elements of the model is not favorable. Accordingly, it is necessary to develop some new science and technology policies and to make approperiate research and industrial strategies in Iran to advance interactions between these elements.

The purpose of this study is to investigate the attitudes of faculty members of Yazd University about knowledge sharing and analysis of related factors.

In this research, descriptive and survey methods have been used. The statistical population of the study includes all faculty members of Yazd University. The sample size was determined based on Cochran formula of 115 people and the samples were selected using stratified random sampling method. In explaining the factors related to faculty members' attitudes about knowledge sharing, individual characteristics including gender, age, work experience and academic rank were considered. SPSS 21 software was used for data analysis.

Findings showed that there is no significant relationship (p˃0.05) between gender, academic rank, work experience and age of respondents in terms of three variables of behavior, attitude and awareness. However, the relationship between faculty members' attitudes and variables of behavior, knowledge, tools and motivating and limiting factors (P˂0.001) was significant.

Given the positive and significant relationship between factors affecting knowledge sharing and attitudes about knowledge sharing, it can be said that the existence of a strong organizational culture leads to an increase in the desire to share knowledge in people and their greater success in doing this with colleagues.

This study aims to investigate the keywords similarities of documents in three areas of electronic, digital, and virtual libraries based on cluster analysis.

This scientometric study is conducted using co-word analysis and clustering techniques. Research materials consist of all relevant documents related to electronic, digital, and virtual libraries that have been indexed in Web of Science, during the period 1990-2018. In addition to the superficial similarity observed, the rate of similarities is calculated by the Jaccard index.

An examination of the growth trends indicates a negative and slight increase in the number of documents related to electronic and virtual libraries (with growth coefficients of -0.68 and 36.1). However, the number of digital libraries is higher (-0.68, 1.36, and 13.11 respectively). The topics of "Electronic Resources", "Information Retrieval", and "Internet "are placed at the top of core keywords in the fields of electronic, digital, and virtual libraries, respectively. The clustering of keywords in the three areas of the research led to the formation of 8, 14, and 7 clusters.

Results indicate little overlap of keywords in the three areas in terms of clustering. It reveals an obvious distinction between these three phenomena within the scientific community and can be viewed as evidence of the researchers' proper understanding of the concepts associated with different types of libraries.

 Despite the importance of knowledge management in healthcare, this sector is widely viewed within the literature, as accepting the concept last. There is not enough information on the topical content of the field of medical knowledge management. Therefore, this study, using scientometrics approaches, attempted to assist the understanding of knowledge trends, identifying core topics, and revealing the intellectual structure of knowledge in this field.

 This was a descriptive, scientometric research, using co-word analysis and hierarchical clustering. The research materials consisted of 868 documents in the PubMed, for the period 1980-2017, that included the term “Knowledge Management” in the title and in the abstract fields. In addition, 200 Persian articles related to the topic, which were covered in Persian databases such as Magiran, Noormagz, the Scientific Information Database (SID) and the Persian Science Citation Index (PSCI) were included.

 There was a positive growth in both sets of documents with a ratio of 2.98 for English and 2.31 for Persian articles. The keywords of English and Persian papers were clustered in 14 and 10 thematic clusters, respectively. To identify similarities between the two groups of documents, clustering results were compared visually. Only 13 common keywords were presented in the thematic clusters of Persian and English documents, and these were scattered across different clusters.

 Identifying and clustering core keywords lead to the conclusion that knowledge management in the field of medicine is mostly service-oriented.

These are one of the most important documents in the production of scientific information that their results can be of help to many issues. The purpose of this study was to determine the status of publications from the Master thesis in the Information Science and Knowledge Studies sector, submitted during 2001-2013. This study is a descriptive survey, which has been conducted using bibliometrics approaches. The information related to 1237 master theses were collected from "List of LIS theses at Iranian universities" and" Listhesis", as well as "Irandoc" website. Results reveal that in total, the average of annual growth rate for the papers published out of these were 1.13. According to the findings, more than half of theses (61%) remained unpublished, and only .39% of them resulted to the publication of 508 papers. The fact that more than half of theses in the Library and Information Science sector do not publish and the fact that more than one third of the papers extracted from theses in this field, are published in non-LIS journals, are warning for scientific policy makers of the field.

The evaluation of the links between science and technology has become a critical issue for policy makers in these fields. Several methods are in use for the evaluation of the linkage between science and technology, using citation metrics.
This study aims to explore the patent citations intensity in journal papers within the field of chemistry in Iran, from 1381 -1390 (2002-2011).
Metholdology: : This study is a descriptive survey which has been conducted using the Reverse Citation Relations approach. The study covers all Iranian journal papers in the field of chemistry indexed in Magiran & SID databases.
Findings: Results reveal that although the list of references in the articles relating to this field has grown, the citation of patents throughout the years of the study period has practically remained the same.
The insignificant rate of growth in the number of citations to patents in Iranian chemistry papers is an evidence of a weak linkage between science and technology in this field.

This research aims to study co-authorship in Iranian journal papers in the field of nanotechnology. For our purpose, two main objectives have been examined: The first objective is to investigate the growth in the number of articles and authors, and to examine their relationship with the collaborative coefficient in Iranian domestic journals of nanotechnology from 2005 to 2013; the second objective is to examine the network structure of active authors of Iranian journal articles of nanotechnology during the period under study. Research materials include 904 papers, published in 12 journals, by 1646 authors during the period 2005-2013. This is an applied research study conducted as a survey, using scientometrics approaches. Data analysis has been carried out using techniques of social network analysis. To create the matrix of co-authorship a software package called Ravar Matrix is used, while for the purpose of social network analysis the Ucinet software package and its supplementary package, Netdraw, is used. The results demonstrate that the growth of papers and authors follows a positive exponential trend. The most prevalent authorship model in the production of the articles is the two-authorship model, with and the average number of authors for each paper being three. In total, 1646 authors contributed to the formation of a co-authorship network relating to the papers, amongst which 228 authors had an effective role. According to the findings "Manafi", "Salvati Niasari", and "Sadegh Hosseni" are respectively the top three authors in terms of the number of papers published. Where degree centrality is concerned, "Manafi", "Salvati Niasari", and "Badie" occupied the first to third places. In terms of centrality, the first ranking is occupied by both " Kokabi “and "Manafi", while "Manafi" is at the top for betweenness, with "Kokabi" and "Saraf Mamoori" ranked second and third respectively. Overall, findings indicate that when it comes to the writing of papers for Iranian Nano journals, the top authors, in terms of the number of papers published, have collaborated with less productive authors.

With graphical mapping of a scientific field, it is facilitated to better and more accurately identify that branch of human knowledge and convert its abstract concept to a more objective concept. The aim of this study is to draw the thematic map of addiction articles.
The present study was carried out with a scientific approach and falls within the category of applied research. The descriptors of the related articles were extracted with a search for the term «behavior, addictive» in the subject heading "mesh" of the PubMed website in the period of 2005 to 2014. The data analysis and map drawing were conducted by using Ucinet, Netdraw, and Ravar Matrix software.
The growth of scientific production in the field of addiction has witnessed an increasing trend throughout the period of the study. Considering the centrality indices, such concepts as disorders pertaining to substance abuse, smoking, tobacco, and so on are the most frequently used topics in this field.
The use of social network analysis indices in the analysis of scientific maps is effective. The new knowledge and insight gained through the analysis of thematic maps are of great help to policy-makers in this filed to make appropriate decisions for the promotion of scholarly products.

different scientific fields, including "Humanities", "Science", "Engineering" and "Agriculture, Veterinary and Natural Resources" to the production of scholarly papers published in Persian journals between 1380-1390 (2001-2011).
This is a descriptive survey which uses scientometrics approaches. Research materials include all of the papers related to the fields of "Humanities", "Science", ". The list of these journals has been extracted from the Magiran database, the Islamic World Science Citation Database (ISC) and the Scientific Information Database (SID).
Findings: Results reveal that the field of "Humanities" had the highest LEVEL of scientific production, with the highest number of journals (421) and the highest number of papers (44416). This field also contained the highest number of subfields (17). Based on the findings, the greatest number of papers in the field of "Agriculture" belongs to the subfield of “Agronomy"; in the field of "Engineering" this is related to the subfield of "Chemistry, Oil and Polymer"; and in the field of "Science" it belongs to the subfield of "Biology".
According to the findings the average annual growth rate of publications during the research period was 26.2% for the field of "Humanities", 5.8% for "Engineering", 28.9% for "Agriculture, Veterinary and Natural Resources” and 29.2% for "Science".

The study of scientific networks has developed as one of the most important kinds of metrics studies over the last few decades. Drawing networks of topics through the co-word analysis approach is one of the methods used to study scientific networks. The main objective of this technique is to show the development of scientific fields through the visual display of topics.
The aim of this research work is to study the scientific network of topics examined in publications from the Information Science and Knowledge Studies master theses.
For this purpose, the information of 1237 master theses was collected from the "List of LIS theses in Iranian universities" and two databases called "irandoc" and "listhesis". In addition, "magiran "and" noormags " databases were searched for articles published from theses. Out of 508 articles extracted from these theses, 1428 keywords were then extracted.
Findings: Thematic mapping of the paper's keywords by using the co-words analysis technique indicates that the topics "Internet", "Webometrics" and "Information storage and retrieval" had top ranking for the degree-centrality and betweenness indexes. In addition, the topics "Locating libraries", "Selective dissemination of information and "Education" had the highest impact on the network in terms of closeness centrality.

Due to the high prevalence of depression and the considerable pressure it puts on individuals, society and healthcare system, it is essential to conduct sufficient research to help with decision making in prevention, treatment and control of this condition. To assist with research planning and setting priorities, this paper aimed to identify the thematic structure of papers related to depression treatment.
This was an applied research study which used Scientometrics approach. To obtain data, the keyword “Depression” was searched as a mesh descriptor with the subdivision “Therapy” in PubMed database for the period of 2005 to 2014. The data were analyzed using co-word and clustering methods with the help of Excel and SPSS software packages.
The growth of scientific production in this field appeared to have been balanced throughout the ten-year period examined in the study. The most active research areas for the two five year periods (2005-2009 and 2010-2014) were drug therapy, psychology, and medication adherence. Two hierarchical graphs of descriptors for each five-year period were prepared both of which were composed of 12 clusters with 34 common descriptors.
The findings based on the inclusion index showed that only 20 percent of topics in the second five-year period of the study were novel. Therefore, it could be concluded that research areas that were related with each other in previous years will probably co-occur with other topics in the future might disappear. In every discipline, some topics are considered to be fundamental and research works are being carried out on them almost every year.

The distinction between the concepts of science and technology has made it necessary for economic and scientific policymakers to know the realms of these two areas. The relationship between the science and the technology is changing and also is variable depending on the circumstances, scientific areas, and from one time to another one. The current research aims at studying the growth trend and the scientific and technical strength of USPTO-patents in Nano-electronic.
This is a descriptive-analytical study, which uses scientometrics approaches. The Research material consists of all Nano-electronics patents in the USPTO database. For the purpose of data retrieval, several searches for different spelling forms of Nano-electronic keywords were conducted, and the data was extracted through c-sharp programming.
Findings: The results of the growth trend analysis reveal a considerable increase in the number of Nano-Electronics patents, especially from 2000 onwards. The number of references listed in these patents has also increased significantly since 2002. Based on these findings, the science linkage indicator is considerable compared to other disciplines. On the other hand, the technology dependence on Nano-Electronic patents is twice more than their scientific strength, which demonstrates the interconnection between Nano-Electronic inventions and the previous technologies. The more technical aspects of nan electronics may be due to the applied nature of this field and the amount of associated patents.

Addiction, which has recently attracted the attention of researchers, is a serious problem worldwide. The growth of relevant literature contributes to a better understanding of this problem and improves the interaction between executive organizations and academic institutions. It is important to identify the active subject areas within this field and to explore the topics which are more frequently discussed in research documents using techniques of subject clustering analysis. The main purpose of this paper is to do a content analysis of papers related to addiction in PubMed through hierarchical clustering.
This is a descriptive and applied research analyzing the content of literature through hierarchical clustering. To obtain data, a search for the keyword “Addiction” as a Mesh term in PubMed was conducted, on 21/04/2015, for papers published in 1991-2014. Descriptors were extracted from the papers retrieved, and data were analyzed using Ravar Matrix and SPSS 20.
According to the findings, the size of scientific literature in the area of addiction increased during the period under the study. Subject clustering led to the identification of most widely used topics, including substance related disorders, addictions to the Internet, gambling, smoking, etc.
Through thematic analysis of documents (descriptors), a wide range of dispersed topics were grouped into six clusters. The members of each cluster had common characteristics and they were structurally interrelated. The main concern of researchers, as indicated by descriptors in these six clusters, were on psychological aspects of the issue.

A considerable amount of research is conducted in the area of depression therapy from all over the world. Exploration of the relationships between title keywords of the papers provides helpful information for researchers. The aim of this paper is to draw up scientific maps for this research area in PubMed.
This research is conducted based on scientometrics approaches. It uses the techniques of co-word analysis and social network analysis to identify conceptual relationship between papers related to the field of depression therapy. Using Ravar Matrix, Ucinet and Netdraw software packages, 6, 172 papers related to the treatment of depression in PubMed were analyzed during the period from 2005 to 2014.
Findings: The subject areas of Medication adherence and Suicidal ideation were identified as the most prevalent new and emerging topics in this field. Results of Closeness and Between Centrality indicators, revealed that the greatest value is related to the topics of »Psychology, Drug Therapy, and Anti-depressive Agents«.
According to the findings, Drug Therapy, Psychology, Anti-depressive agents, and Treatment outcome are the most active research areas. Scientific maps help users and policy makers get a better understanding of the structure of a research area, explore the research status of a field and make plans to improve the quality and quantity of scientific products.

To study the subject structure of knowledge management domain and identify major contributors (domains with the highest number of documents and keywords) through analyzing keywords of Web of Science records.
Co-word analysis is used to explore subject structure of knowledge management domain and network analysis to show closeness centrality. Also, the similarity of related domains was calculated using the Jaccard index.
The largest number of high centrality keywords belongs to "Information Systems", followed by "Management" and "Library and Information Science" respectively. The most central keyword in three domains is "Knowledge Sharing". The binary mean index of Jaccard show that "Management" and "Library and Information Science" have the most similarity followed by "Information Systems" and "Library and Information Science".
Based on results, it is suggested to define Knowledge Management using high centrality keywords, close to Dalkir (2011) definition of the term.

Diabetes Mellitus, Type 2 is a common disease in modern societies and one which has attracted the attention of researchers. An examination of the literature that has contributed to the formation and growth of this field helps us to explore its thematic structure, and identify the main focus of research papers.
This is an applied research study which uses Scientometrics approaches. Research materials include documents related to the treatment of Diabetes Mellitus, Type 2 in PubMed for the period 2005 to 2014. Data analysis has been carried out using descriptive-analytical statistics and social network analysis techniques. To prepare a matrix of mesh descriptors, a software package called Ravar Matrix has been used, while for the purpose of social network analysis the Ucinet software package and its supplementary package, Netdraw, has been implemented.
The results demonstrate the growth of scientific production in this field in the years 2005 and 2013. 57 countries were involved in writing the papers, with the United States, England, Germany, Ireland and the Netherlands at the top of the list respectively. According to the Closeness and Betweeness Centrality Indicators of terms on the maps, the most active research areas in the field are as follows: Drug Therapy, Vascular Diseases, Blood, and Chemistry changes, Metabolism, Physiology, Pathophysiology and Diagnosis.
Results of co-word analysis revealed outstanding topics of the field under study, which is useful for policy makers to learn about the research status and make appropriate decisions for the promotion of scholarly products.

Although a relatively new discipline، Knowledge Management (KM) is an area with a wide range of theoretical concepts and practical implications. The applicability of KM in different environments، and the vast value and benefits of its application، have led to great developments within the discipline over the last few years. The interdisciplinary nature of KM has also provided the opportunity for contributions by people from different disciplines، which in turn has lead to the rapid advancement of KM boundaries. This paper aims to examine the subject structure of the KM discipline through keyword analysis of documents in the Web of Science، using a hierarchical clustering approach and an inclusion index. Within the Web of Science categories، according to the findings، the three categories of «Management»، «Computer Science Information Systems» and «Information Science Library Science» claim the highest number of documents in this area. Of 5570 author keywords،، 96 keywords are identified as «highly used» keywords. Three hierarchical clusters (dendrograms) are formed from co-occurrence analysis of highly used keywords in the three categories. A comparison of these denrograms indicates that six clusters، including a total of 16 keywords، are common in the three categories. Looking at clusters of the three categories revealed that two categories - Management and Information Science Library Science - have 14 common/shared clusters، and therefore the highest degree of similarities. However، the category of Computer Science Information Systems، with 28 unique clusters، differs most markedly from the other two categories. To investigate the rate of common keywords from one category to another، the inclusion index is calculated. Results of this exercise indicate that the category of Information Science Library Science has the highest number of common keywords.

Scientific collaboration in the production of knowledge artifacts is especially important in a multi-disciplinary field such as Knowledge Management.
This paper examines the co-authorship patterns within KM Papers in the Category of Library Science, Information Science in the WOS. For this purpose, data from 2961 papers for the period 1989 to 2014 was extracted from the database. Using Zipf Law, an analysis of 6511 paper's authors identified 133 authors as the most productive and considered these for further analysis of co-authorship networks.
Findings: The co-authorship matrix was prepared using the RavarMatrix software package, and networks were created using Ucinet and its supplementary package, NetDraw.
Results indicate that the growth in the number of papers and authors across the years of the study follows a geometric exponential growth trend. The most prevalent authorship model in the production of these papers is a dual authorship (two- author) model. Each year the number of authors has increased 1. 332 times more than the previous year, while the number of papers has increased 1. 291 times.

Today, with the development of information and communication technologies, the use of distance learning programs and facilities is rapidly increasing. Following the application of these new educational channels in many universities, it is vital to get some insights into the attitudes of different involving groups, including students. This study aims to investigate the attitudes of Yazd University Library and information science students towards e-learning and hope that it can be Key to the application of e-learning facilities in this discipline. In this research work, 100 students were studied, conducting a survey method. Data was collected by a researcher -designed questionnaire and analyzed with SPSS software using a descriptive method. Results suggest a relatively favorable attitude towards e-learning education and provide an appropriate base to implement this type of education. According to the findings, this situation may get improved with providing necessary equipments and by considering other incentives such as running workshops. Findings also showed that the application of e-learning systems is most effective for courses that are related to the use of computers and the internet, Courses on information sources and Courses that are associated with the application of new technologies in libraries.

The present paper discussed results of a study which aimed to explore the knowledge and use of Web 2.0 technologies by LIS academics in Iran and to explore the challenges they faced for using these technologies. The research method was explorative and empirical. Data was collected through a web-based survey questionnaire containing both open and close ended questions. The results showed that LIS academics in Iran had good level of familiarity with some Web 2.0 tools such as blog, wiki, YouTube and Facebook. However, their familiarity with some other Web 2.0 tools such as RSS, feeds, Twitter, Flickr, Delicious and podcast was limited. Blog, discussion groups, chat tools, file sharing tools, Wikis, SMS, video sharing tools and forum were used respectively by LIS academics in their teaching. Internet filtering was identified as the most inhibiting barrier to the use of Web 2.0 tools. Lack of access to high speed internet and lack of training were pointed as the other identified barriers. Authors suggested that to reap the benefits of Web 2.0, LIS academics needed to find alternative non filtered Web 2.0 tools to employ in their teaching and research.