Zooming in & zooming out: Overall graph summary

Intermediate Network Analysis in Python

Eric Ma

Data Carpentry instructor and author of nxviz package

Graph exploration at scales

Exploration at global and local scales
Global: Centrality distributions
Local: Connectivity and structures

Zooming on nodes

Isolate a given node or set of nodes
Plot node statistic over time

Summarizing evolving node statistics

Customer-product dataset
- Investigate how purchasing patterns have changed over time
customer1 - node of interest

Summarizing evolving node statistics

Gs = [....] 

noi = 'customer1'

degs = []

for g in Gs:
    ...         # Get the degree of the node   
    degs.append(len(g.neighbors(noi)))

plt.plot(degs)
plt.show()

Summarizing evolving node statistics

ch3-3.020.png

Default dictionaries

from collections import defaultdict
d = defaultdict(list)

d['heathrow'].append(0.31)
d['heathrow'].append(0.84)

d

defaultdict(list, {'heathrow': [0.31, 0.84]})

Default dictionaries

d2 = dict()
d2['heathrow'].append(0.31)

KeyError                           Traceback (most recent call last)
<ipython-input-19-291c74368a8f> in <module>()
--> 1 d2['heathrow'].append(0.31)
KeyError: 'heathrow'

Let's practice!

Intermediate Network Analysis in Python