What is network analysis good for, and how can you apply it yourself using open source tools? A demo is shown, making a plot of the matatu bus network in Nairobi, Kenya.

1. The (hidden) patterns
Network analysis

2. Stuff you can
do with networks ...

3. How are people connected?

4. Where will the traffic get stuck?

5. What is the optimal route
for energy and materials?

6. How do products or
diseases spread?

7. Some technical background

8. 1
2
3
4
5
6
7
node or
vertex
link or
edge
edge weight
hub with
4 degrees
Which node is most central?
(power, access to information, etc.)

9. Demo: building a different matatu map

10. Step 1: get vertices & edges

11. Step 2: Add centrality measures

12. Step 3: plot

13. Step 4 : Extract clusters

14. Step 5: Extract backbone

15. Resources:
Data processing:
●
R
●
igraph, sna, network, etc
●
data.table, magrittr
Plotting:
●
Cytoscape
●
Gephi
●
Yed
Digital matatu map:
●
digitalmatatus.com

16. Henk Harmsen
https://www.linkedin.com/in/carbonmetrics
https://stackoverflow.com/users/580110/henk
image: edits on Wikipedia Kenya page