Hi igraph community,
I have a graph and I want to estimate the modularity (Q) based on the Louvain split of the graph.
In python I used igraph and to compare, I also estimated Q in Matlab.
Based on igraph, the Q is negative (weird) whereas the Q based on the Matlab estimation is possitive.
I would expect differences in the values but not by so far (+ shows modularity, - shows anti-modularity).
Any idea why this happens?
Makis
———————————
My code and data:
PYTHON
```
import numpy as np
import
scipy.io
from igraph import *
A = scipy.io.loadmat('A.mat')['A']
graph = Graph.Weighted_Adjacency(A.tolist(), mode=ADJ_UNDIRECTED, attr="weight", loops=False)
Louvain = graph.community_multilevel(weights=
graph.es['weight'], return_levels=False)
Q = graph.modularity(Louvain)
print(Q)
-0.001847596203445795
```
MATLAB (
https://sites.google.com/site/bctnet/measures/list)
using community_louvain.m: Louvain community detection algorithm
```
clear all
load('A.mat')
[M,Q]=community_louvain(A);
Q =
0.1466
```
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