3. How to Analyze Keywords with VosViewer

Step 1: Import Bibliographic Data
Start by importing your bibliographic data into VosViewer from sources like Web of Science, Scopus, or PubMed. Ensure that the dataset includes information such as article titles, authors, keywords, and publication years.
Step 2: Preprocess the Data
Clean the data by removing duplicates, standardizing keywords (if necessary), and eliminating any irrelevant or noise-causing elements. This step ensures data quality and enhances the accuracy of keyword analysis.
Step 3: Generate a Keyword Co-Occurrence Matrix
Using VosViewer, create a keyword co-occurrence matrix. This matrix captures the relationships between keywords based on their co-occurrence within articles. It helps identify patterns, themes, and associations between keywords.
Step 4: Visualize the Keyword Network
Visualize the keyword network using VosViewer's network visualization capabilities. The network will display nodes representing keywords and edges connecting co-occurring keywords. The size, color, and layout of the nodes can be customized to highlight important aspects.
Step 5: Analyze Network Metrics
Utilize VosViewer's network analysis functions to extract meaningful insights from the keyword network. Explore various network metrics such as centrality measures (e.g., betweenness centrality) and community detection algorithms to identify influential keywords and keyword clusters.
Step 6: Identify Key Keywords and Themes
Based on the network analysis results, identify key keywords and themes within the dataset. Look for central keywords with high centrality scores or keywords belonging to closely connected clusters. These keywords represent important topics or trends in the literature.
Step 7: Perform Keyword Frequency Analysis
Conduct a keyword frequency analysis using VosViewer to determine the prevalence of specific keywords within the dataset. This analysis helps identify the most frequently occurring and impactful keywords, providing insights into the focus of the research.
Step 8: Explore Keyword Evolution Over Time
If your dataset includes publication years, examine the evolution of keywords over time using VosViewer's temporal analysis features. This analysis reveals emerging or declining research topics and allows for a longitudinal perspective on keyword usage.
Step 9: Export and Present Findings
Export the visualizations, network metrics, and keyword analysis results from VosViewer. Use these outputs to create informative visuals and present your findings in a clear and engaging manner.

[@doctordkchoudhary]

Thank you

[@ibrahimsakr3543]

please, can you provide us with your paper in the explanation?

[@bangkimbiswas8598]

Please visit the following link
www.sciencedirect.com/science/article/abs/pii/S0197397521000254

[@dr.alexshayo6972]

Thank you for the excellent video. Can you please explain how you capitalize the initials of the words in the maps generated by the VOSviewer?

[@bangkimbiswas8598]

Capitalizing the initials of words in maps generated by VOSviewer involves adjusting the settings or manipulating the input data before visualization. Typically, this could mean editing the labels in your dataset to ensure each word starts with a capital letter or using a feature within the software that automatically formats text according to your preferences. For specific instructions, refer to the VOSviewer manual or support resources for tips on text formatting and visualization customization.

[@anupamabhatt02]

Please share the paper link

[@bangkimbiswas8598]

www.sciencedirect.com/science/article/abs/pii/S0197397521000254?via%3Dihub

[@anupamabhatt02]

Sir I have this link
But I am not able to access the whole paper... Actually I want to see how you have analysed and interpreted the results...This is my first attempt for writing bibliometric paper...This will be a great help if you could provide the link for whole paper of pdf of your paper

[@hae3391]

hi can I ask why is my vosviewer cannot use the co-occurence?

[@bangkimbiswas8598]

Thanks for your question! Here are a few tips to fix the co-occurrence issue in VOSviewer:
Check Data: Make sure your data includes keywords or terms for co-occurrence analysis.
Settings: Ensure you've selected the right analysis type in VOSviewer.
Update: Use the latest version of VOSviewer for the best results.
Support: Refer to the VOSviewer guide or their support for more help.
Hope this helps!