Complex Network Analysis in Python by Dmitry Zinoviev

Author:Dmitry Zinoviev
Language: eng
Format: epub, pdf
Tags: Pragmatic Bookshelf
Publisher: The Pragmatic Bookshelf, LLC

Draw the Network

The size of the network generated in the previous section makes its visualization almost useless. However, the plotting fragment is still included in the case study. Nodes are painted by their kind: Entities are lightly colored, and Officers are dark.

panama.py

​ cdict = {​"Entities"​: ​"pink"​, ​"Officers"​: ​"blue"​,

​ ​"Intermediaries"​ : ​"green"​}

​ c = [cdict[panama0.node[n][​"kind"​]] ​for​ n ​in​ panama0]

​ dzcnapy.small_attrs[​"node_color"​] = c

​ pos = graphviz_layout(panama0)

​ nx.draw_networkx(panama0, pos=pos, with_labels=False, **dzcnapy.small_attrs)

​ dzcnapy.set_extent(pos, plt)

​ dzcnapy.plot(​"panama0"​)

The following figure shows the sketch of the network (naturally, without the labels). You can see with a naked eye that some components have an Officer in the center, surrounded by Entities; in some other components, conversely, Officers surround an Entity in the center.

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