structure of each network in terms of assortativity, and we will focus
on the relative independence of each network.
6 Assortativity Measures
We investigate the topology of various networks by considering the
correlation of degree defined by Newman [7, 8]. The idea is to
compare globally the difference between the degree of each node to
the mean degree of its first neighbors. To do that we compute for
each protein the degree correlation coefficient:
r ¼
X
i, j
ij e i,j À p i p j
σ 2
Fig. 21 Degree distribution of LRN for the Cholera Toxin
Fig. 22 Degree distribution of LRN for the whole data set
130
Claire Lesieur and Laurent Vuillon
on the relative independence of each network.
6 Assortativity Measures
We investigate the topology of various networks by considering the
correlation of degree defined by Newman [7, 8]. The idea is to
compare globally the difference between the degree of each node to
the mean degree of its first neighbors. To do that we compute for
each protein the degree correlation coefficient:
r ¼
X
i, j
ij e i,j À p i p j
σ 2
Fig. 21 Degree distribution of LRN for the Cholera Toxin
Fig. 22 Degree distribution of LRN for the whole data set
130
Claire Lesieur and Laurent Vuillon