جستجوی مقالات مرتبط با کلیدواژه « هم واژگانی » در نشریات گروه « کتابداری و مدیریت اطلاعات »

Human thought in the field of crisis management is focused on preventing, preparing for, and dealing with crises in various areas such as organizational crises and natural disasters. However, accessing information on crisis management and related areas can be challenging due to the interdisciplinary nature of the concept of crisis, and there are differing opinions on this matter. One of the most critical and essential tasks of crisis management is to take measures, within the framework of urban management, to eliminate the problems caused by natural disasters, reduce their adverse effects, and prepare for relief and the improvement of the situation. Considering the significance of crisis management worldwide and the need to mitigate its impact, it is crucial to regularly analyze and advance crisis research. This will ensure that research in this field progresses with accuracy and relevance. Therefore, the objective of this study is to identify research topics in the field of crisis and risk management using the Scopus database from 1973 to 2020.

The present research is a scientometric study that utilizes content analysis techniques, specifically co-word analysis and network analysis. The research community encompasses all documents in the field of crisis and risk management from the inception to 2020 in the Scopus database. In this research, the documentary method was used to collect data. First, the relevant keywords were identified, and the search was conducted using Boolean operators and truncation techniques. Finally, on November 7, 2021, 2,330 documents were retrieved and entered into Excel software. Using Bibexcel software, the names of organizations, countries, and keywords were extracted and analyzed. Centrality indices, such as closeness centrality, betweenness centrality, and degree centrality, were analyzed using Gephi software. Additionally, a vocabulary co-occurrence network was created using VOSviewer software.

According to the increasing trend of scientific publications in the field of crisis and risk management, there has been a rise in the production of works. The highest number of publications was recorded in the year 2020, with 222 documents. Most of the documents in terms of the type of work are research articles, and the majority of the published documents are in English. The United States, with 467 documents, Runciman, W.B. The author with 15 documents and the social science field with 694 documents were the most active in terms of country, author, and field. The topics of crisis management and risk can be categorized into five clusters of issues. The first cluster focuses on risk management and disasters caused by crises. The second cluster addresses crises, vulnerability, and disaster management during crisis situations. The third cluster examines the assessment of potential risks. The fourth cluster explores risk factors and interventions in crisis occurrence, as well as training individuals to prevent such accidents. The fifth cluster discusses post-accident management, healthcare, and providing relief to victims. The vocabulary co-occurrence network also shows that the keywords "crisis management," "risk management," and "risk assessment" have a degree centrality of 196, 194, and 192, respectively. The keywords "risk management," "vulnerability," and "water management" have an equal value of 1 and the highest value of closeness centrality. The keywords "human," "risk management," and "risk assessment" have the highest value of betweenness centrality, with values of 8.653, 491, and 3.398, respectively. These three nodes have the shortest path connecting them to other pairs of nodes, indicating that they have more influence and occupy a vital position in the network.

  The key to crisis management lies in proper planning and the implementation of continuous structured processes that are designed before a crisis occurs in order to fully equip and prepare. Crisis management is a process that involves evaluating crisis signals and taking necessary measures before, during, and after the crisis to effectively overcome it and minimize the resulting damage. Conducting research in this field is one of the practical methods that can assist countries in crisis control and management. The results of previous research in the field of crisis management and natural hazards indicate that the majority of studies focus on crisis management, risk management, and human health. This highlights the significance of global research on human health during accidents. However, despite this, Iran, known as one of the accident-prone countries, has a low level of scientific output and limited international collaboration in this area. Policymakers and crisis management planners in countries can take a significant step towards identifying the principles of crisis prevention and mitigating the resulting damages by prioritizing the crisis issue and conducting further research on the identified hot issues in the present study.

 The purpose of the present study is to compare the thematic trends of scientific productions related to Covid 19 in the fields of humanities and social sciences in Iran and the leading countries of the five continents based on the studies of Web of Science. 

 The present scientometric research has a descriptive-analytical interdisciplinary approach through social network and co-word analysis techniques which is one of the methods of content analysis. Bibexecl, Gephi, and SPSS software were used to analyze the data, and VosViewer software was used to draw thematic clusters.

 The United States, England, China, Australia, and South Africa are the leading countries. Iran ranks 37th in the world and 13th in Asia. Co-word clustering in US studies consisted of 6 clusters, in Chinese and South African studies, 7 clusters, in British studies, 8 clusters, in Australian and Iranian studies 10 clusters. The clusters of "China and Australia", "The UK, and the United States" have thematic overlap, however, there are more clusters in the studies of Australia and Iran. There is a positive and significant relationship between the amounts of scientific production related to Covid 19 in humanities and social sciences and the prevalence of the disease (number of patients) in Iran and the leading countries. There was no significant difference between countries in terms of the number of citations received; The number of scientific productions of countries in the fields of humanities and social sciences and health is not significantly different from each other; There is a positive and significant relationship between the rate of scientific production of Covid 19 in the fields of humanities and social sciences and the prevalence of the disease (number of patients) in Iran and leading countries.

 Based on the results, the emergence of Covid-19 as an important health and social issue has made the management of various economic, social, cultural, and political complications inevitable. It is in this direction that in the results of this research, the repetition of concepts such as empowerment, participation, governance, management, and crisis management, etc. can be seen. This shows the existence of new thinking and policies in the post-coronavirus era to control and contain such a crisis. Also, according to the results of the research, "depression, mental health, risk, social media, crisis management, influence" are frequent in Chinese studies from the Asian continent. The most centrality of degree, closeness, and betweenness is related to the concept of "resilience". In England, from the European continent, "higher education, online learning, management, innovation, mental health, depression, society, engagement, motivation, knowledge" are the most important trends of researchers. The most centrality of the degree, closeness, and betweenness is related to the keywords "crisis and motivation". In the United States of America, "depression, stress, social support, education, participation, influence, management, leadership, employment, self-education, distance education, and science" are more common and the most important subject tendencies of researchers in this field. The most centrality of the degree, closeness, and intermediateness is related to the keyword "distance education". The most centrality of the degree, closeness, and intermediation is "distance education". "Social media, education, literacy, society, satisfaction, influence, mental health, poverty, governance, and humanities" are frequent in South African studies from the African continent and constitute the most important intellectual tendencies of researchers in this field; The most centrality of degree, closeness, and intermediateness is "higher education and poverty". In the studies of Australia from the Oceania continent, "education, technology, tourism, management, science, culture, social work, mental health, depression, anxiety, neoliberalism" are frequent and important and are the most important trends of researchers; The most centrality of degree, closeness and intermediateness is related to "crisis and gender". In Iranian studies, "depression, influence, behavior, perception of risk" have a central place among the most important tendencies of researchers; In the studies of this country, the most centrality of degree, closeness, and intermediateness is related to the keyword "simulation". In this way, in the subject area under discussion, there are also differences in the subject tendencies between countries. However, in a general look at the results of the cluster analysis of the studied countries, it can be said that the clusters of the countries of China and Australia with topics such as "technology and media, management and mental health" and the clusters of the countries of England and the United States with topics such as "depression, society, education, participation, management, online learning, and science and knowledge" have thematic overlap.

The field of digital library in today's world is diversified and developed and has an interdisciplinary nature. So that the study in its various aspects is always evaluated as one of the important topics in scientific fields and can be the origin of important researches. The purpose of this study is to investigate and plot the intellectual structure of knowledge in the field of digital library in the world using a co-word analysis.

This research is a type of applied scientometric studies that uses co-word analysis and network analysis. The statistical population was all researches in the field of digital library in the web of science database, which is equal to 5655 records in total. Vosviewer, Netdraw, SPSS and Bibexecl software were also used to analyze and plot the network.

The results showed that the keywords digital library, information retrieval and library are the most frequent words and the most pairs of words are digital library and information retrieval. The co-word network includes six clusters called knowledge management and digital library, storage and retrieval of digital resources, interaction between digital and non-digital environments and e-learning, electronic resources and media, virtual screening and medical data analysis. The network density is .24 and the average centrality index is .663. The co-word network of the digital library field showed that the keyword digital library is the most central term and plays the main role of this network. The density of the network is .1290, which is not in a favorable condition. This case shows that the sub-domains within the clusters and inter-cluster connections, or the lack of research orientation to the technical issues of content, software and services as the three main elements of digital libraries and single domain. There is a lack of balance between theoretical and applied interdisciplinary research in this field. These findings are consistent with the research results of others. Of course, the low density of the network also indicates that the subjects of the library field have been researched more in a specialized way and less communication has been established between these fields, which is one of the weaknesses of this field. According to the strategic diagram, knowledge management clusters and digital libraries and digital screening are developed clusters and play a pivotal role. The electronic resources and media cluster, although pivotal, is underdeveloped and immature. Other subject clusters are marginal clusters and are emerging topics that have not been sufficiently researched.  In general, the results of this research showed that most of the researches in the field of digital library of the world have been done in the subjects of information retrieval, university libraries, user studies, internet and copyright. Considering that the network density of the digital library field is low, it is clear that researchers have neglected its interdisciplinary fields and the subjects of this field have little connection with each other. By reviewing the clusters obtained, it is concluded that the clusters of knowledge management, digital library and virtual screening have the central role of researches and most of the researches are carried out in this field and on the other hand, despite the fact that the clusters of storing and retrieving digital resources, human and environment interaction. Digital and electronic learning are one of the main and important topics in the field of digital library, they are emerging, marginal and underdeveloped topics, and researchers should direct most of their research in this direction so that these fields also reach a favorable state. In general, the structure of the intellectual network of the digital library field is fragmented, and in order to create a link between the structure of this network, researches should be removed from being single-domain and theoretical and applied interdisciplinary researches should be conducted.

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 present study aims to identify the characteristics of scientific productions associated with whistleblowing in the Web of Science database and to detect the thematic attitudes towards these scientific productions in different leading countries (the United States, England, and Australia).

The present descriptive-analytical research has been conducted according to the scientometric approach and using content analysis, co-word analysis, and social network analysis techniques. The research community in the first stage consists of all the scientific productions related to whistle-blowing in the Web of Science from 1970 to 9/30/1399. In the next step, the research community includes scientific productions related to the United States with 562 records, England with 187 records, and Australia with 125 records. HistCite, Bib Excel, Gephi, and SPSS software were used for data analysis purposes and the VOS viewer was used to map the intellectual structure of the study.

The number of 1594 scientific productions on the subject of whistle-blowing in 779 journals by 2382 authors from 72 countries have been indexed and published in the Web of Science database; The findings show the upward and continuous growth of scientific productions in this field that in 2018, the highest number of scientific productions in this field (134 records) was recorded and the mean annual growth rate of whistleblowing scientific productions was found to be 38.13%. Nir J.P. (Indiana University) and Miceli, M. P. (University of Ohio) are ranked first and second in terms of whistleblowing productions and citations, respectively. Indiana University (USA) ranks first in terms of scientific production and citations. The United States, UK and Australia are leading countries in this field. Iran ranks 40th among participating countries with 4 scientific productions. The top scientific fields contributing to this field are business economics with 492, social sciences and other subjects with 290, public law with 260, general internal medicine with 115, and engineering with 99 records. Co-word clustering in the leading countries led to the formation of 8, 6 and 5 clusters, respectively. Among the eight clusters of scientific production of the United States, four clusters whose concepts and vocabulary include "ethics, organization, behavior, countermeasures (retaliation), management, fraud and fraud" since the most frequent and common keywords in whistle-blowing research are in these clusters, so they have a central and important position and are the most important trends of American researchers in this field; Among the six clusters of scientific productions in England, three clusters (yellow, green and purple) include concepts and words with high co-occurrence such as "morality, behavior, retaliation and transparency", since the most frequent and common keywords in whistle-blowing research are in these clusters, so they have a central and important position and are the most important tendencies of English researchers in this field; Among the five clusters of scientific productions in Australia, two clusters (green and red) whose concepts and vocabulary include "ethics, countermeasures, management, financial misconduct and reporting", since the most frequent and common keywords in whistle-blowing research are in these clusters, they have a central and important position, and they are the most important trends of Australian researchers. Whistleblowing has the highest degree of centrality in the scientific productions of leading countries; Keywords: Corruption and fraud, Doping, Innovation, Organizational culture, and whistleblowing have the highest closeness centrality and whistleblowing has the highest betweenness centrality in the leading countries. The United States was found to be the most effective and productive country in the field of whistleblowing.

The dissemination of scientific productions in the field of whistleblowing in the leading countries has an upward trend and is mostly related to the keywords of recent years, although the United States and the United Kingdom are older in scientific productions in this field. Hot topics in the scientific productions of these countries are retaliation, ethics, behavior, information, organization, management, corruption and culture.

The purpose of this study is to identify the characteristics of scientific products in the field of small-data indexed in the Web of Science database and to explain its application based on identifying the words of scientific products related to this subject separately by scientific fields.

This research is a descriptive study based on the scientometric approach and content analysis method, which has been done by using the common techniques of co-word analysis and social network analysis. Data analysis was performed by HistCite, Bibexecl, Gephi, and SPSS software; and the data mapping is done by VOSviewer.

Over the past decades, the rate of publications in the field of small data has had an increasing trend with an average annual growth rate of 15.59%. The main language of these works is in English. Although the National Cheng Kung University (Taiwan) ranked the first of organizations in this field, the United States, China and Germany recognized the top countries in this field, overall. More than 90% of these products are in the fields of Computer Science (8 clusters), Engineering (6 clusters), Mathematics (7 clusters), Telecommunications (5 clusters), and Physics (3 clusters). The greatest degree of centrality belongs to Machine Learning, the Internet of Things, and Universal existence; the most closeness centrality belongs to Adaptation, Bipartite Graph, and Machine Learning; and the most betweenness centrality belongs to Machine Learning, Long-Term Evolution Technology, and Global Existence.

The pattern of dissemination of scientific products in the field of small data indicates a continuous growth situation. Theoretical discussions of microdata have further evolved in mathematics and physics, and its applications in computer science and other fields are expanding.

The purpose of this study was to investigate the change in the approach of interactive information retrieval studies from the decade 1990 to 2020 and drawing the co-word map based on the articles indexed in the Web of Science. 

The research has been done by a quantitative method, scientometric indicators and social network analysis. 10.294 sources were identified by searching the interactive information retrieval in the Web of Science database. Finally, 154 articles in the category of library and information science were analyzed. There was no specific timeframe for the search and data were retrieved from 1990 to 2020. SPSS and VOSviewer software package were used for data analysis.

The research findings indicated that since 2001, the scientific production of this field has started to grow and in 2016 reached the maximum number of articles, In fact, this growth trend peaked in 2015, 2016, 2017 and 2018. Also, Pia Borland, Iris Xie and Amanda Spink are highly-cited authors in the field of interactive information retrieval. Most of the studied literature focused on information behavior issues, attention to individual user differences, search process, search strategies, search function and information system design, query expansion and relevance. The paradigm shift of studies has from user attention, relevance feedback, and consequentialism to attention to the search process and related topics such as attention to individual differences in users, search strategies, search performance, search process, and query reformulation. In other words, focus of interactive information retrieval studies has changed from the outcome of search to search process and what happens in the search session. The findings of Ward's hierarchical clustering also resulted in the formation of three clusters, including "web search", "information seeking behavior" and "human-machine interaction". 

Investigating the content of information sources produced in the field of interactive information retrieval helps identify scientific production trends and change paradigm studies in this field.

Bibliometrics is one of the key areas of scientometric. Bibliometrics is very useful for organizing information in a particular discipline. The main purpose of this study is to investigate the status of scientific productions and identify key areas of tax using the co-occurrence of keywords.

In this study, the Web of Science database was used to collect research data. The VOS Viewer Software was also used to draw a map of the co-occurrence of keywords. Papers, countries, and the top journals on the subject of tax were identified. Key tax issues were identified using Co-word analysis.

The results showed that the Journal of taxation has published the most tax articles. The Journal of Public Economics has the most citations. The United States has the most articles in this field. The most important topics were taxation, tax evasion, tax competition, tax avoidance, and tax reforms.

Conclustion: 

The results showed that the general trend of publication of articles is upward and the highest number of articles is published in 2019. The results also show that the trend of publication of articles by Iranian researchers at the international level is low, so more attention should be paid to improve the status of Iran at the international level.

purpose of this study is to analyze the research perspective, the knowledge map, and the scientific collaboration networks of COVID19 Studies in the WOS since the announcement of the disease by China. This study is an applied descriptive, with a scientometric approach (co-word analysis and network analysis). The research community is the scientific COVID19 studies in the WOS in 2019 and 2020 years. Histcite and excel softwares are used for data analysis and VOSviewer is used for mapping. In domain of COVID19, 579 studies were retrieved from 2928 authors from 68 countries in 318 journals indexed in the WOS. China has had the most studies. Mahase E and Li XW have the most productions and citations. Chinese acad sci and capital med univ universities are pioneering in producing and receiving citations. The chemistry research area has had the largest share in producing works in this field. The COVID19 studies vocabularies formed four clusters of origin, diagnosis, transmission, prevalence, proliferation, deformation, vaccine, protein and nanoparticle impact. The scientific collaboration networks of COVID19 studies has not been coherent, though so far the largest collaboration has been between China and the United States and between Chinese acad sci and fudan univ universities. Iran ranks 16th among 68 participating countries. Countries in a similar situation are in the same cluster. Mahase E, a journalist in the field of health in the United Kingdom, has the most products with news studies.

The current research aims to study  the terms in the literature of project management in span of time based on a word-analysis method.

The research applies word-analysis technique to automatically explore and describe the terms used in PM literature. An amount of 2170 journal were extracted from the International Journal of Project Management (IJPM). IJPM has the highest SJR index among the journals in the field of project management. The research analyze the papers of IJPM published during 1983-2016.

Ten top groups could be determined based on frequently used terms in PM. The prominent combined terms with the words management and organization are risk management, program management,   portfolio management, project organization, organizational learning, and organizational culture. The emerging terms of 2015 and 2016 are social network analysis, aerospace projects, transportation infrastructure    projects and social risk management. Four time phases in PM literature term development can be identified. Receiving new terms has been   decreasing in PM field since 2004. The term "organization" is the most frequently used term in the PM literature. Its use has increased in the span of time so its frequency percentage has increased from 21.3% in 1983-1995 to 30.7% in 1996-2005 and has finally amounted 35.1% in 2006-2016.

Conclustion: 

PM has experienced some maturity, but some scientific principles and theoretical foundations for the content are missing. Scientometric methods make it possible to identify recently emerged terms, less used terms and saturated terms. This enables us to determine the  topics of future research projects and thus to close the current gaps.

The present survey aims to study the scientific texts and social texts linked each other by citations in order to investigate the influence of scientific terms on social texts. The social text is expected to be a bridge between scholars and users by citing scientific texts. By indexing scientific and social text and measuring its similarity by means of an inclusion index, it is possible to see the influence of scientific terms on social texts. The basis of the statistical data of the present study is the scientific papers on climate change issues published in the journals covered by the Web of Science, which have the role of the research community. Sample members consisted of 9876 scientific and social texts (7912 social texts cited 1964 scientific texts) that were extracted and stored in .txt files with the help of Python web scraping using beautiful soup package. The pdf files were extracted manually and converted to a txt file. The indexed terms of the scientific and social texts and the common terms between them, were identified and categorized according to their length and document types separately using the automatic negative indexing model and regular expressions. Measuring the penetration of scientific terms on social texts using the inclusion index, showed that the average penetration rate was 27%. There was a positive, significant and strong correlation (0.76) between the number of common terms and academic penetration. The results of chi-square test showed that there is a significant relationship at 1% level between the term length and the average penetration rate. There is also a difference between the level of penetration and the type of social documents type, including news, blogs, policy documents, Wikipedia, and peer reviews. The highest percentage of penetration is related to policy documents and then Wikipedia. Obtaining 22 citations and 40 social citations on average per paper, and the strong correlation between citation and altmetric score, indicates the citation influence among the academic and non-academic community. Collectively, with the power of altmetrics like policy documents, Wikipedia and blogs and their permeability, they can be used to further promote scientific findings. Publishing scientific findings in these sources, even in a different language from scientific authors, can contributed to greater awareness of society and the general public.

The aim of this study is to reveal the research topics of COVID 19 in five continents on the WOS studies.

The present study is a descriptive study with a scientific approach and content analysis method and utilization of co-word analysis and social network analysis techniques. The research community is COVID 19 studies in the WOS. Bib Excel and Gephi software have been used to analyze data and VOS software to draw the intellectual structure.

Asian, European, American, African, Australian and Oceanic countries participated in 608, 391, 301, 66 and 43 studies. The SARS, MERS, and Sun keywords are the top keywords in the COVID 19 studies on five continents. COVID 19-SARS, COVID 19-MERS and COVID 19-Wuhan are common co-word pairs in studies in five continents. In Asian studies, "Pneumonia, Electric field, and Pneumonia", in European studies "Sun, X-rays, and SARS" and in American studies  "MERS, galaxies, and zoonosis" and in African studies "lightning protection, MERS and MERS" and in Ocean studies "MERS, risk management and MERS" have the highest degree, closeness, and betweenness centralities.

Asian researchers focus on epidemiological topics, European researchers focus on biological topics, and American researchers focus on epidemiological and genetic issues.

This study aims to analyze and compare the research process of Information and Knowledge Organization field’s in the web of science.

This study is an applied descriptive, with a scientometric approach (co-word analysis and network analysis). The research data is the field of information and knowledge organization in the web of science. Histcit, UCINet and BibExell softwares are used for data analysis and VOSviewer for mapping.

In the last two decades, 8688 works have been indexed by 15139 authors from 110 countries in the web of science. Iran is ranked 24th between 79 works. United States had the most scientific production in the world. Hjorland B. and Leydesdorff L., and in Iran, Alipour-Hafizi and Kousha have received the most productions and citations, respectively. The field of computer science had the largest share in the production of works. The universities of Illinois and the Islamic Azad University have had the largest participation. The most common were vocabulary information retrieval, classification, metadata and digital libraries. The vocabulary of works formed 7 clusters in the world and 5 clusters in Iran. The most important thematic trends in the world, extracting information from social and big data networks, users tagging, RDA, RDF, FRBR, digital libraries and taxonomies and in Iran FRBR, digital libraries, fuzzy information retrieval, ontology and cloud computing, respectively.

Analyzing and comparing the results of this field leads to a better understanding of the prevailing trends and discourse and is a roadmap for education and research in the country.

urpose: This research has investigated and demonstrated the scientific structure and knowledge map of the researches of wisdom.

the study used scientometrics approach. The statistical population of this research consisted from all scientific documents registered at the Scopus. In this research, scientific documents were extracted from Scopus and their co-word analysis was done after standardization. For each subject area and the keywords, a column diagram was formed, and then neighboring and co-neighboring graphs were performed.

The findings showed that the fields of social sciences, computer science, business, management and accounting, economics, econometrics and finance, environmental sciences, engineering sciences, mathematics and decision-making sciences have done the most research work related to the study of wisdom. The most common words were wisdom, knowledge, ethics, education, leadership, technology, personality, and business. It is also proposed to develop the knowledge map of wisdom research, the main structures of "wise leadership," "living with universal culture," "teaching Practical wisdom" and "wisdom-based creativity ".

The results showed that the concept of wisdom with regard to large capacities, especially in Iran, was not considered for the basic needs of society.

Using a co-word analysis, this study tries to map the intellectual structure of Quran and Hadith Studies in Iran based on the records in the Islamic World Science Citation Database (ISC) during the years 2006 to 2015. This is a scientometric applied research which uses co-word analysis. The research population consists of 3638 articles published in the journals of Quran and Hadith category indexed in ISC database. SPSS, BibExcel, UCInet and Vosviewer are among software that were used for analyzing and preparing data and drawing maps in this research. Results indicated that keywords “Quran”, “Nahj al-Balaghah” and “Imam Ali” are most frequent keywords in Quran and Hadith Studies. Moreover, “Nahj al-Balaghah***Imam Ali” is the most frequent co-word pair. Findings showed that in the time period (2006-2015), 11 clusters are formed in Quran and Hadith Studies. Also, based on the results of strategic diagram, the matured and well-developed clusters in Quran and Hadith Studies were identified. The lack of some Quranic key concepts such as Islamic ethics, philosophy and schools of Islamic philosophy, and the prophetic soul indicates that Quranic researchers have paid little attention to the mentioned areas.

Present study aims to study co- word of 475 agriculture Persian articles of Kermanshah province which were indexed in Islamic Science Citation (ISC) database during 2009 to 2014.
Persent research is a scientometrics study type and it uses co-word network analysis method. It also uses guidelines of the network analysis method such as: centrality rating, interstitial centrality, closeness centrality and density index. For drawing scientific maps of subjects and relations UC-net, Netdrive were used. As well as for clustering subjects, Metrics software, Ravar matrix and SPSS were also used.
Findings:Data analysis showed a rising trend of scientific researches from 2009 to 2014 respectively. In map of the main topics in agricultural articles, subjects such as wheat, peas, barley, agriculture, water, canola, drouthness, genetics and other matters that are visible on the network, have the highest closeness centrality. In maps of the main subjects of Kermanshah province agricultural, articles subjects such as analysis, cultivation, wheat, soil, variety, and statistical methods have been identified. Results of clustering analysis also showed that the core research topics include genetics, wheat, irrigation, seeds and analysis respectively. Among agricultural research works subjects such as floods, agricultural education high school, efficacy, indigenous knowledge, drought

The current research aims at studying the conceptual relationship between the science and technology documents through the comparison of vocabularies that are used within the patents and the papers in the field of Autonomous Underwater Vehicles (AUV). The research method is descriptive. To perform the research, the patents were retrieved from Google Patents and Lens websites, and the papers from IEEE Explore database. A hybrid keyword-class method was used to conduct the search. It means that the search query was consisted of "Autonomous Underwater Vehicle" keyword and “H” class. The titles and the abstracts of the patents and the papers were automatically indexed through a semi-automatic method. This resulted in 195 keywords for patents and 114 ones for papers. Co-occurrence matrices of these two sets of keywords were created through RavarMatrix software. The hierarchical maps of keywords were drawn by SPSS. Findings show that 65 percent of papers’ keywords are those that occurred within the patents but 23 percent of patents’ keywords are similar to the papers’. The structural comparison of patents and papers clustering’s also revealed that the structural proximity between patents and papers vocabularies is equal to zero. The other finding showed that the similarity between the members of ego networks of prominent keywords is for two cases zero and for others fewer than 15 percent except for the keyword “data”. It may be concluded that the science is affected by technology in the field of AUV.

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.

The intellectual structure of knowledge and its research front can be identified by co-word analysis. This research attempts to reveal the intellectual structure of knowledge in information behavior inquiries, via co-word, network analysis, and science visualization tools.
Bibliometric methodology and social network analysis are used. Population comprises 2146 records in the field of Information Behavior during 2006-2014, which had been retrieved from Web of Science.
finding indicate that “Information Retrieval” is the most frequent keyword in the Information Behavior inquiries. Also, “Information Needs and Information Behavior” are the most frequent co-occurred keywords. Use of hierarchical cluster analysis by Ward method led to the creation of 11 topical clusters in Information Behavior, including among others: “User Studies,” “Health Information Behavior,” and “Social Networks.”
The results indicated that the co-word analysis can be well uncover the intellectual structure of scientific disciplines. The results of the strategic diagram showed that “health information behavior”, “user studies”, “social networks”, and “relevance in information retrieval” are among well-matured and central clusters with pivotal role. Moreover, four clusters, including “information resources”, “Web search”, “information retrieval”, and “information management” are among emerging or declining clusters. Finally, although the “interface and information technology” cluster is in the central part, but it is underdeveloped. Due to the frequency of keywords on the one hand, and clusters obtained on the other hand, it seems to be a close relationship between information behavior and health studies. Therefore, it seem that many of information behavior studies have been conducted in health and medical communities.

the aim of this research was to recognize and extract a systematic listof Stop Words in order to utilize it in the automatic indexing of Persian texts in the field of Library and Information Science We used content analysis. The research population was 56 articles from which 20 articles were selected on the basis of simple random sampling. Among 15557 words existing in the corpus, according to Zou model in the pre-adjustment list, 1368 words and in the post-adjustment list, 468 words were recognized as stop words. Also according to Zipf law, in the pre-adjustment list, 217 words and in the post-adjustment list, 607 stop words were recognized. The total number of words in the abstract of articles was 1989. In the Zou model, according to pre-adjustment style148 words and according to post-adjustment style173 words were extracted as stop words. Also on the basis of the Zipf law, in pre-adjustment style, 60 words and in post-adjustment style, 186 words were recognized. In the both applied method there was a direct relation between the frequency of words and probability of being stop words. The highest percentage of stop words (39/44 percent) was attained in the texts of the articles through the application of Zou Statistical Model. The results of this research can lead to increase efficiency of information store and retrieval, decreasing of input and saving in time and expense.