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Handbook of Graphs and Networks in People Analytics
:
With Examples in R and Python
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Table of contents
Welcome
1
Graphs everywhere!
2
The Basics of the R Programming Language
3
Working With Graphs
4
Visualizing Graphs
5
Restructuring Data For Use in Graphs
6
Paths and Distance in Networks
7
Vertex Importance and Centrality
8
Segmentation and Community
9
Commonality and Assortativity
10
Graphs as Databases
11
Advanced Network Visualization
References
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8
Segmentation and Community
7
Vertex Importance and Centrality
9
Commonality and Assortativity
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8
Segmentation and Community
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