List of Articles Co-word analysis

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  1 - Analyzing and Drawing the Co-word Map of Competitive Intelligence in First-Level Technical Universities of Tehran
  Mandana Yavari Parivash Jafari Nadergholi Gorchian
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  2 - Drawing word co-occurrence map in the field of digital transformation in the Web of Science database
  ُSoheila Khoeini Alireza Noruzi Nader Naghshineh Zeinab Jozi
  Objective: The current research was conducted with the aim of drawing word co-occurrence map in the field of digital transformation in the public sector in the Web of Science database.Methodology: This analytical research was carried out using scientometric techniques w More

  Objective: The current research was conducted with the aim of drawing word co-occurrence map in the field of digital transformation in the public sector in the Web of Science database.Methodology: This analytical research was carried out using scientometric techniques with library methods, vocabulary co-occurrence analysis and social network analysis. The statistical population of the research consists of 536 scientific publications in the field of digital transformation from 1996 to 2022 in the Web of Science database. Data analysis and the word co-occurrence map were done with the Excel, Bibexcel and HistCite and VOSviewer softwares.Results: The findings showed that the UK, Russia and India had the most publications on this subject. Dalhousie University, Plekhanov Russian University of Economics, Brunel University London were the most prolific research institutes for publications on digital transformation. Six clusters of digital transformation research were identified in the public sector, which include digital government services, digital infrastructure, digital transformation strategy, digital leadership and governance, transformative technologies, and digital innovation cluster (disruptive technologies).Conclusion: The results indicate that the majority of publications have been conducted around e-government, information and communication technology, digitalization, business, digitization and digital strategy, which shows the need to pay attention to the appropriate infrastructure and transform governments to move towards digital transformation in services. The need for international cooperation is necessary for the countries to achieve such a goal. Manuscript profile
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  3 - Identifying the Thematic Relationships between the Resources Used By the Users of the Regional Science and Technology Information Center Using the Text Mining Technique
  Khojasteh Shabani asefe asemi
  Objective: The main purpose of the present research was to investigate thematic relationships in the topics of resources used by RICeST users, using text mining techniques. Therefore, it has been attempted to reflect how the thematic relationships are in the information More

  Objective: The main purpose of the present research was to investigate thematic relationships in the topics of resources used by RICeST users, using text mining techniques. Therefore, it has been attempted to reflect how the thematic relationships are in the information resources of users in the RICeST Center, in order to gain access to the required materials through understanding the behavior and feelings of users and clients.Methodology: The research method was based on text mining, which refers to data mining on the text, and text analysis in order to extract quality information from the text. Information access to the full text of articles in scientific-research, scientific-promotional journals, collections of scientific conference and conference articles, English and Persian books formed the statistical population of the research, and all the data obtained from the reporting by RICeST were checked using the census method. Data analysis and text analysis was done by Vianet software, and Python software was used to clean and normalize the data.Results: In order to determine the main view of the most used topics by RICeST users, based on the findings from the obtained data, 21 frequent words (used more than 2000 times in the RICeST database in a two-year interval 2018/02/08 – 2020/02/08).Conclusion: the conclusion was based on the fact that the compilation of the research in the collection of electronic resources of information databases and foresight in the future of this category of resources is useful to the managers of information centers and their users. Manuscript profile