Social network analysis with Python

What do we need?

• Motivation.
• Data.
• Tools.
• Example.

Motivation

Understanding a bit about social networks  APIs and create visualization over real data.

Data

Tools

• Python (pandas,networkx,matplotlib...).
• Twitter API.

Example

• Details.
• Results.

Un-Pruned graph

Prunning

remove = []
for node in G.nodes():
if G.degree(node) < 2:
remove.append(node)

G.remove_nodes_from(remove)

Pruned graph

Graph info

Number of nodes: 1277
Number of edges: 11512
Average degree:  18.0298

Some coloring...

Centrality

This indicators identify the most important vertices within a graph.

highest degree

map=[]

for node in G.nodes():
    map.append(G.degree(node))
    map.append(G.degree(node))

draw_network with: node_color=map , node_size=map

Highest degrees

Degree centrality

color_map=[]

size_map= []

test = nx.degree_centrality(G)

for node in G.nodes():
    size_map.append(G.degree(node))
    color_map.append(test[node])

draw_network with: node_color=map , node_size=size_map

Degree centrality

Code at:

https://gitlab.com/Blackzen/tweeter_friends_graph.git