The document discusses NAILS (Network Analysis Interface for Literature Studies), a tool for performing bibliometric network analysis and social network analysis on citation data from literature. It describes NAILS functionality for analyzing literature from Web of Science, including identifying the most cited authors, publications, keywords. The document also presents a case study analyzing literature on "augmented reality education" using NAILS and its web interface HAMMER. Key outputs from the case study include visualizations of publication volume, influential authors, topics identified through modeling.

1. ‫البحث‬ ‫أدوات‬ ‫سلسلة‬‫العلمي‬(1)
‫عمل‬ ‫شة‬‫ر‬‫و‬«‫برنامج‬Nails‫السابقة‬ ‫اسات‬‫ر‬‫الد‬ ‫لتحليل‬»
‫والطبية‬ ‫العلمية‬ ‫الدراسات‬ ‫بحوث‬ ‫مركز‬
‫سعود‬ ‫الملك‬ ‫جامعة‬

2. NAILS Project
Network Analysis Interface for Literature Studies
Shiroq Al-Megren, PhD
King Saud University

3. Table of contents
1. Introduction
2. Functionality and Services
3. Analysis Case Study
4. Case Study Output
5. Demonstration
6. Conclusion
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4. Introduction

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.
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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.
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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.
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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.”
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9. Social Network Analysis
Figure 1: Social Network Analysis for a literature search for ’social network
analysis’.
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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.
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11. Functionality and Services

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.
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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.
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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.
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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.
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16. Analysis Case Study

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/
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18. Web of Science
Figure 2: Web of Science. 13

19. Core Collection
Figure 3: Web of Science core collection. 14

20. Search Results
Figure 4: Web of Science search results.
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21. Save to Other File Formats
Figure 5: Save to other file formats.
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22. Send to File
Figure 6: Send to file.
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23. Zipped Content
Figure 7: Downloaded files and zipped contents.
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24. Using HAMMER
Figure 8: HAMMER web interface.
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25. HAMMER (cont.)
Figure 9: HAMMER input.
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26. Analysis Processing
Figure 10: HAMMER analysis processing.
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27. Analysis Results Page
Figure 11: HAMMER analysis results page.
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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
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29. R Studio
Figure 12: R Studio.
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30. Install Packages
• install.packages(”packagename”)
• splitstackshape, reshape, plyr, stringr, tm, SnowballC, lda, LDAvis,
igraph, etc.
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31. Set Directory
Figure 13: Set directory in R Studio.
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32. Set Directory (cont.)
Figure 14: Set directory in R Studio (cont.).
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33. Save Web of Science Results in Input
Figure 15: Store results from Web of Science to input folder in NAILS master.
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34. Run Exploration
Figure 16: Open exploration.Rmd and click on Knit.
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35. Case Study Output

36. NAILS and HAMMER Output
Figure 17: NAILS and HAMMER output.
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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.
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38. CSV File Example
Figure 18: CSV file example from case study output.
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39. CSV Files: How to open?
Figure 19: From Excel go to ’Data’ and select ’From Text’.
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40. CSV Files: How to open? (cont.)
Figure 20: Select ’Delimited’ from the Text Import Wizard.
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41. CSV Files: How to open? (cont.)
Figure 21: Select ’Semicolon’ from the Text Import Wizard.
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42. CSV Files: How to open? (cont.)
Figure 22: Click on ’Finish’ from the Text Import Wizard.
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43. CSV Files: How to open? (cont.)
Figure 23: Specify where you wish to place your data.
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44. CSV Files: How to open? (cont.)
Figure 24: Output file, literature by keywords.csv , opened.
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45. Publication Year
Figure 25: Publication year.
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46. Relative Publication Volume
Figure 26: Relative publication volume. 40

47. Productive Authors
Figure 27: Productive authors.
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48. Most Cited Authors
Figure 28: Most cited authors. 42

49. Most Popular Publication
Figure 29: Most popular publications. 43

50. Most Cited Publication
Figure 30: Most cited publications.
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51. Popular Keywords
Figure 31: Popular keywords.
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52. Most Cited Keywords Keywords
Figure 32: Most cited keywords. 46

53. Important Papers
• In-degree in the citation network
• Citation count provided by Web of Science
• PageRank score in the citation network
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54. No Included in the Dataset
Figure 33: Not included in the dataset.
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55. Most Referenced Publication
Figure 34: Most referenced publications. 49

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.
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57. Topic Modeling Output (cont.)
Figure 35: Topic modeling.
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58. Demonstration

59. Conclusion

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.
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