Description
Social network analysis is used to investigate the inter-relationship between entities. Examples of network structures, include: social media networks, friendship networks and collaboration networks.
This book provides a quick start guide to network analysis and visualization in R.
You'll learn, how to:
- Create static and interactive network graphs using modern R packages.
- Change the layout of network graphs.
- Detect important or central entities in a network graph.
- Detect community (or cluster) in a network.
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Our Books
- Practical Guide to Cluster Analysis in R by A. Kassambara (Datanovia)
- Practical Guide To Principal Component Methods in R by A. Kassambara (Datanovia)
- Machine Learning Essentials: Practical Guide in R by A. Kassambara (Datanovia)
- R Graphics Essentials for Great Data Visualization by A. Kassambara (Datanovia)
- GGPlot2 Essentials for Great Data Visualization in R by A. Kassambara (Datanovia)
- Network Analysis and Visualization in R by A. Kassambara (Datanovia)
- Practical Statistics in R for Comparing Groups: Numerical Variables by A. Kassambara (Datanovia)
- Inter-Rater Reliability Essentials: Practical Guide in R by A. Kassambara (Datanovia)
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- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham & Garrett Grolemund
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- Hands-On Programming with R: Write Your Own Functions And Simulations by Garrett Grolemund & Hadley Wickham
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- Deep Learning with R by François Chollet & J.J. Allaire
- Deep Learning with Python by François Chollet
Version: Français
Hamidou Sy (verified owner) –
Eko Subagyo (verified owner) –
Jan Willem (verified owner) –
Some helpful recipes to get you started quickly. It lacks clear explanation on background and no description about other function attributes. Delivered promptly.
Oscar Salas (verified owner) –
Rita L. (verified owner) –
Christian Larsen (verified owner) –
clear concise examples. I found the code to be very useful to accelerate progress for my closely related projects.
A more in-depth follow up on book would be interesting. Also I’d love to see an R connection to neo4j graph databases