Consider the network with N = 4 nodes and adjacency matrix A given by A = 0 11 1 1 0 1 1 0000 0000 (d) Calculate the eigenvector centrality x; of each node i = 1, 2, ..., N of the network and rank the nodes, from the most to the least central, according to their eigenvector centrality. To this end start from the initial guess x (0) = 1 where 1 is the N-dimensional column vector of elements 1₁ = 1 Vi = 1,2..., N. Consider the iteration N x(n) = Ax (n-1) for nЄ N. Finally, calculate the eigenvector centrality x; of each node i of the network by finding the limit (u)~ x₁ = lim Ꮖ ; N n→∞ j=1' (u)"

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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Consider the network with N = 4 nodes and adjacency matrix A given by
A
=
0 11 1
1 0 1 1
0000
0000
Transcribed Image Text:Consider the network with N = 4 nodes and adjacency matrix A given by A = 0 11 1 1 0 1 1 0000 0000
(d) Calculate the eigenvector centrality x; of each node i = 1, 2, ..., N of the network
and rank the nodes, from the most to the least central, according to their
eigenvector centrality. To this end start from the initial guess x (0) = 1 where 1
is the N-dimensional column vector of elements 1₁ = 1 Vi = 1,2..., N. Consider
the iteration
N
x(n) = Ax (n-1)
for nЄ N.
Finally, calculate the eigenvector centrality x; of each node i of the network by
finding the limit
(u)~
x₁ = lim
Ꮖ ;
N
n→∞
j=1'
(u)"
Transcribed Image Text:(d) Calculate the eigenvector centrality x; of each node i = 1, 2, ..., N of the network and rank the nodes, from the most to the least central, according to their eigenvector centrality. To this end start from the initial guess x (0) = 1 where 1 is the N-dimensional column vector of elements 1₁ = 1 Vi = 1,2..., N. Consider the iteration N x(n) = Ax (n-1) for nЄ N. Finally, calculate the eigenvector centrality x; of each node i of the network by finding the limit (u)~ x₁ = lim Ꮖ ; N n→∞ j=1' (u)"
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