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محاضرة برنامج Nails لتحليل الدراسات السابقة د.شروق المقرن

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محاضرة برنامج Nails لتحليل الدراسات السابقة د.شروق المقرن

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محاضرة برنامج Nails لتحليل الدراسات السابقة د.شروق المقرن

  1. 1. ‫البحث‬ ‫أدوات‬ ‫سلسلة‬‫العلمي‬(1) ‫عمل‬ ‫شة‬‫ر‬‫و‬«‫برنامج‬Nails‫السابقة‬ ‫اسات‬‫ر‬‫الد‬ ‫لتحليل‬» ‫والطبية‬ ‫العلمية‬ ‫الدراسات‬ ‫بحوث‬ ‫مركز‬ ‫سعود‬ ‫الملك‬ ‫جامعة‬
  2. 2. NAILS Project Network Analysis Interface for Literature Studies Shiroq Al-Megren, PhD King Saud University
  3. 3. Table of contents 1. Introduction 2. Functionality and Services 3. Analysis Case Study 4. Case Study Output 5. Demonstration 6. Conclusion 1
  4. 4. Introduction
  5. 5. What is a literature review? • A body of text that aims to review the critical points of current knowledge on a particular topic. • A comprehensive survey of publications in a specific field of study or related to a particular line of research. 2
  6. 6. What is the purpose of a literature review? • Establish a theoretical framework for your topic/subject area. • Define key terms, definitions, and terminology. • Identify studies, models, case studies, etc. supporting your topic. • Define or establish your area of study, i.e. your research topic. 3
  7. 7. Three Key Points on Literature Review • Tell me what the research says (theory). • Tell me how the research was carried out (methodology). • Tell me what is missing, i.e. the gap that your research intends to fill. 4
  8. 8. Terms to Know • Citation “A reference to another source, like a published article.” • Systematic Mapping Study “A secondary study that aims at classification and thematic analysis of earlier research.” • Bibliometrics “Statistical analysis of written publications, such as books or articles.” • Social Network Analysis “Examining and investigating social structures through network theory.” 5
  9. 9. Social Network Analysis Figure 1: Social Network Analysis for a literature search for ’social network analysis’. 6
  10. 10. NAILS • NAILS is a tool for performing statistics and Social Network Analysis (SNA) on citation data. • Bibliometric Network Analysis “Statistical study of connections between publications.” • NAILS is a free software; you can redistribute it and/or modify it under the terms of the GNU General Public License. 7
  11. 11. Functionality and Services
  12. 12. Serives • NAILS works on publications available for download from Thomson Reuters Web of Science Core Collection. • It analyses seven essential variables for each publication, which includes the authors, keywords, publication forum, article type, and cited articles. • The analysis identifies, for instance, the most cited articles and authors, most common keywords, and journals with most publications. 8
  13. 13. Services (cont.) • The analysis and statistics are accompanied with visualizations for a quick data overview. • Additionally, the system extracts the citation network data from the literature. • The citation network enables calculating how many times each reference has been cite by a paper inside the analyzed dataset. 9
  14. 14. Services (cont.) • NAILS also extracts and exports data about citation and author cooperation networks that can be visualized (e.g. using Gephi). • This dataset of citation connection can be used to calculate the relative influence of publications in the network. 10
  15. 15. How to Analyse • NAILS works on publications available for download from Thomson Reuters Web of Science Core Collection. • The user downloads the literature data from Web of Science and uploads it to NAILS via a web interface (HAMMER). • The system then removes duplicate records and performs an exploratory data analysis on provided literature data. 11
  16. 16. Analysis Case Study
  17. 17. Case Study and Important Links • A sample data retrieved from Web of Science with the search term of ”augmented reality education”. • Important links: • https://webofknowledge.com/ • http://nailsproject.net/ • http://hammer.nailsproject.net/ 12
  18. 18. Web of Science Figure 2: Web of Science. 13
  19. 19. Core Collection Figure 3: Web of Science core collection. 14
  20. 20. Search Results Figure 4: Web of Science search results. 15
  21. 21. Save to Other File Formats Figure 5: Save to other file formats. 16
  22. 22. Send to File Figure 6: Send to file. 17
  23. 23. Zipped Content Figure 7: Downloaded files and zipped contents. 18
  24. 24. Using HAMMER Figure 8: HAMMER web interface. 19
  25. 25. HAMMER (cont.) Figure 9: HAMMER input. 20
  26. 26. Analysis Processing Figure 10: HAMMER analysis processing. 21
  27. 27. Analysis Results Page Figure 11: HAMMER analysis results page. 22
  28. 28. Manual Installation • Download R binaries: https://cran.r-project.org/ • Download R Studio: https://www.rstudio.com/products/rstudio/download/ • Download NAILS master package: https://github.com/aknutas/nails 23
  29. 29. R Studio Figure 12: R Studio. 24
  30. 30. Install Packages • install.packages(”packagename”) • splitstackshape, reshape, plyr, stringr, tm, SnowballC, lda, LDAvis, igraph, etc. 25
  31. 31. Set Directory Figure 13: Set directory in R Studio. 26
  32. 32. Set Directory (cont.) Figure 14: Set directory in R Studio (cont.). 27
  33. 33. Save Web of Science Results in Input Figure 15: Store results from Web of Science to input folder in NAILS master. 28
  34. 34. Run Exploration Figure 16: Open exploration.Rmd and click on Knit. 29
  35. 35. Case Study Output
  36. 36. NAILS and HAMMER Output Figure 17: NAILS and HAMMER output. 30
  37. 37. CSV Files • CSV stands for comma-separated values. • Files in the CSV format can be imported to and exported from programs that store data in tables, such as Microsoft Excel. 31
  38. 38. CSV File Example Figure 18: CSV file example from case study output. 32
  39. 39. CSV Files: How to open? Figure 19: From Excel go to ’Data’ and select ’From Text’. 33
  40. 40. CSV Files: How to open? (cont.) Figure 20: Select ’Delimited’ from the Text Import Wizard. 34
  41. 41. CSV Files: How to open? (cont.) Figure 21: Select ’Semicolon’ from the Text Import Wizard. 35
  42. 42. CSV Files: How to open? (cont.) Figure 22: Click on ’Finish’ from the Text Import Wizard. 36
  43. 43. CSV Files: How to open? (cont.) Figure 23: Specify where you wish to place your data. 37
  44. 44. CSV Files: How to open? (cont.) Figure 24: Output file, literature by keywords.csv , opened. 38
  45. 45. Publication Year Figure 25: Publication year. 39
  46. 46. Relative Publication Volume Figure 26: Relative publication volume. 40
  47. 47. Productive Authors Figure 27: Productive authors. 41
  48. 48. Most Cited Authors Figure 28: Most cited authors. 42
  49. 49. Most Popular Publication Figure 29: Most popular publications. 43
  50. 50. Most Cited Publication Figure 30: Most cited publications. 44
  51. 51. Popular Keywords Figure 31: Popular keywords. 45
  52. 52. Most Cited Keywords Keywords Figure 32: Most cited keywords. 46
  53. 53. Important Papers • In-degree in the citation network • Citation count provided by Web of Science • PageRank score in the citation network 47
  54. 54. No Included in the Dataset Figure 33: Not included in the dataset. 48
  55. 55. Most Referenced Publication Figure 34: Most referenced publications. 49
  56. 56. Topic Modeling Output • Topic modeling is a type of statistical text mining method for discovering common topics that occur in a collection of documents. • A topic modeling algorithm essentially looks through the abstracts included in the datasets for clusters of co-occurring of words and groups them together by a process of similarity. 50
  57. 57. Topic Modeling Output (cont.) Figure 35: Topic modeling. 51
  58. 58. Demonstration
  59. 59. Conclusion
  60. 60. Conclusion • NAILS and HAMMER are valuable tools that can help you identify relevant keywords, authors, references, etc. • The output can be used to expand your research to guarantee a thorough literature review. 52

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