Skip to main content
Handbook of Graphs and Networks in People Analytics
:
With Examples in R and Python
Show table of contents
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
View book source
6
Paths and Distance in Networks
5
Restructuring Data For Use in Graphs
7
Vertex Importance and Centrality
On this page
6
Paths and Distance in Networks
View source
Edit this page