Bibliometrix Tutorial: Network Collaboration Analysis_Scientometric and Bibliometric Analysis_Part 5
Channel: Arghavan Akbarieh
Date: 2020-05-12

The objectives of this video are:

1. Extracting extra-tags from metadata
2. Learning about different types of analysis (In this video: Collaboration Analysis)
3. Learning about the “Units of analysis”
4. Learning about Nodes (Vertices) and Edges (links)
5. Understanding Size (of nodes)
6. Setting “Halo” to TRUE or FALSE?
7. Setting “Curved” to TRUE or FALSE?
8. Setting “size.cex” to TRUE or FALSE?
9. The relationship between BiblioNetwork and NetworkPlot
10. Country Collaboration Network
11. Author Collaboration network
12. Institution Collaboration Network
13. What is the Fruchterman visualisation layout type?
14. Fruchterman vs Kamada Kawai 
15. Understanding Network statistics: Density, Diameter, Centrality, and Degree centralization
16. What does low or high density mean in network analysis?

Example keywords: [("Building Information Model" OR "BIM" OR "Construction Industry" OR "Construction Project") AND blockchain]

References:
Bibliometrix Website: https://bibliometrix.org/
bibliometrix: An R-tool for comprehensive science mapping analysis: https://www.sciencedirect.com/science/article/abs/pii/S1751157717300500
R language: https://www.r-project.org/
 Rstudio: https://rstudio.com/
Demystifying Networks: http://www.scottbot.net/HIAL/index.html@p=6279.html
Network Science article: https://www.researchgate.net/publication/220141972_Network_science
Network Layouts: https://twitter.com/BenSadeghi/status/625929497133477889/photo/1
Static and dynamic network visualization with R: https://kateto.net/network-visualization

Please feel free to write your questions or share your experiences in the comment section :)

Disclaimer: I am sharing my personal experiences with this methodology. This video is by no means the best practice in the field. Careful considerations is advised.

Good Luck :)
Arghavan