Python: read adjacency matrix from file for igraph

2
votes

My question is very simple, but I really cannot find it on the web!

I have the adjacency matrix of a weighted-directed graph which is like:

1    2    3    4    
5    2    4    6  
3    5    6    2
4    6    7    8

so the element of column i and row j, shows the weight of the link between node i and j.

How can I read this file (which can be in txt or csv format) as a matrix to use in igraph? I want to find the number of clusters. So, I want sth like this: g.community_multilevel() if g is my matrix.

1
pythonigraphadjacency-matrix

1 Answers

1
votes

I'm assuming you already have igraph and cairo installed on your machine. If not and you are on a mac see this post. The method you want to use is Read_Adjacency() which is documented here. To read in your graph I used something like this python code: 

import igraph 
from igraph import * 
g=Graph.Read_Adjacency(f="soAdj",sep=None, comment_char='#',attribute="weighted")
plot(g, "readAdjSoExample.pdf",layout="circle")

and the plot will give something like this: enter image description here

and you can access the weights to verify that they were read in correctly via command like: g.es[3] which gives result igraph.Edge(<igraph.Graph object at 0x10f614bf0>, 3, {'weighted': 4.0}) The OP mentioned text vs csv format, the difference would be in which separator you include as a string to the sep= argument to the method.