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.
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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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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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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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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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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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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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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