[igraph] Load a random labelled network

[Simone Caschili]

Hello igraphers,

I've got some issues in creating a graph from a dataset where the nodes are labeled with a random numbering. So, a short example of my dataset could be:

(20, 3); (20, 8); (3, 4);  (1, 8);  (12, 5); (1, 6); (6, 4); (25, 6); (5, 7);  (6, 17); (4, 17)

In this case a graph of 26 vertices and 11 edges  is created. How may I load a 'correct' graph? Here the code I'm using on Python in order to load the graph from a .txt file:

######start####
import string
from igraph import *

edgelist, weights = [], []

SP_data = open("test_graph.dat", "r")

SP_data.readline()
while 1:
    line=SP_data.readline()
    if not line:
        break
    split_line=string.split(line,' ')
    edgelist.append((int(split_line[0][0:]), int(split_line[1][0:])))
        
SP_data.close()
A=len(edgelist)
g = Graph(A,edgelist)    # directed=False is the default


######end######

I would also like that each vertex will get the same label that it has got on the .txt file. Is that possible through the Igraph Python version?

Thank you,
Simon C.