(B) Assume that (a) = { 1 for a 1, 0 for a 1, and that Zāt. Derive the degree distribution P(k) of the network for large times, i.e. t>1, in the mean-field approximation.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Question
Consider the following growing network model in which each node i is
assigned an attractiveness a € N+ drawn from a distribution (a).
Let N(t) denote the total number of nodes at time t.
At time t = 1 the network is formed by two nodes joined by a link.
At every time step a new node joins the network. Every new node has
initially a single link that connects it to the rest of the network.
- At every time step t the link of the new node is attached to an existing
node i of the network chosen with probability II; given by
where
II₁ =
Ꮓ
Z =
Σ aj.
j=1,...,N(t-1)
Provide the mean-field solution of the model by considering the
following two points.
(B) Assume that
7(a) = {
1 for a 1,
0 for a 1,
=
and that Zāt.
Derive the degree distribution P(k) of the network for large times, i.e.
t>1, in the mean-field approximation.
Transcribed Image Text:Consider the following growing network model in which each node i is assigned an attractiveness a € N+ drawn from a distribution (a). Let N(t) denote the total number of nodes at time t. At time t = 1 the network is formed by two nodes joined by a link. At every time step a new node joins the network. Every new node has initially a single link that connects it to the rest of the network. - At every time step t the link of the new node is attached to an existing node i of the network chosen with probability II; given by where II₁ = Ꮓ Z = Σ aj. j=1,...,N(t-1) Provide the mean-field solution of the model by considering the following two points. (B) Assume that 7(a) = { 1 for a 1, 0 for a 1, = and that Zāt. Derive the degree distribution P(k) of the network for large times, i.e. t>1, in the mean-field approximation.
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