مطالب مرتبط با کلیدواژه

Co-authorship networks


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Bibliometric Analysis of Ethics and Technology Research Based on Google Scholar from 1983 to 2020(مقاله علمی وزارت علوم)

تعداد بازدید : ۱۹۷ تعداد دانلود : ۱۷۱
Background: The aim of the present research is to investigate the research outputs on ethics and technology from the perspective of teachers, based on Google Scholar, from 1983 to 2020. Methods: This applied and quantitative study used descriptive and bibliometric methods. The population and sample of the study were 1343 documents retrieved from Google Scholar between 1983 and 2020. Harzing’s Publish or Perish software was used to collect data. VOSviwer and SPSS software were used respectively for visualizing co-authorship network and statistical cases. Results: Based on findings, in the first 16 years only 84 documents were published; the number of publications during the next years steadily increased. About 64% of the papers were written by one author; while only less than 3% of papers had five or six authors. Also, Spearman correlation test showed that there was a significant and positive association between publication year with Google Scholar rank as well as between publication year and the number of authors per paper. The association between publication year and citation per author and publication year with citation was negative and significant. Furthermore, in the present study, the core authors based on co-authorship network and Collaborative Coefficient (CC) were identified. Conclusion: In Google Scholar the new published papers are retrieved and placed in the first ranks. The number of citations per author and number of citations in total increased when the year of publication decreased. It seems the number of published papers is not reason enough to receive higher citation.
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Analyzing Social Engineering Research through Co-authorship Networks Using Scopus Database during 1926-2020(مقاله علمی وزارت علوم)

کلیدواژه‌ها: bibliometric Co-authorship networks Centrality Measures Social Engineering Zipf’s Law

حوزه های تخصصی:
تعداد بازدید : ۱۳۵ تعداد دانلود : ۹۷
Purpose: Hacking the human brain and manipulating human trust to obtain information and get monetary gains is called social engineering. This study aims to visualize and analyze the co-authorship networks in the Scopus citation database's social engineering research from 1926 to 2020.  Method: The present quantitative study used the bibliometric method and social network analysis. The study collected data from the Scopus database. A total number of 1994 records were taken as the sample of the study. Researchers used descriptive and inferential statistics and social network analysis to obtain results; to do this, different software types were used in the study (SPSS, Microsoft Excel, Text Statistics Analyzer, ISI.exe, Pajek, and VOSviewer). Findings: The findings indicate the top three sources of publishing and the related subject areas. Furthermore, the top three core authors and countries were identified. Also, the authors with high centrality measures in the co-authorship networks were identified. A large majority of papers had only one author. The Collaborative Coefficient among researchers was 0.36. Based on the results of Spearman's test, there was a significant association between the number of documents, the number of citations, and the rate of total link strength of the countries. Likewise, there was a positive and high significant association between degree and closeness centralities.  Conclusion: The researchers' frequently used keywords in this area were social engineering, phishing, and information security; in addition, the frequency of keywords was not compatible with Zipf’s Law. A small sample of keywords will not properly follow Zipf’s distribution.