(c) Derive the time evolution k₁ = ki(t) of the expected degree ki of a node i for t≫ 1 in the mean-field, continuous approximation. (d) Consider the case a = (0, 1) and assume that we know the value of C. Derive the degree distribution in the mean-field approximation. Consider the following model to grow simple networks. At time t = 1 the network is formed by no = 3 nodes and mo= 1 link. At each time step t> 1 a new node is added to the network. The node arrives together with 3 new links, which are connected to 3 different nodes already present in the network. The probability II; that a new link is connected to node j is: k II; = 57 where k; indicates the degree of node j, a € [0,1] and Z = 1. Assume that for t> 1 we can approximate Z as ZCt where C is a time-independent constant.
(c) Derive the time evolution k₁ = ki(t) of the expected degree ki of a node i for t≫ 1 in the mean-field, continuous approximation. (d) Consider the case a = (0, 1) and assume that we know the value of C. Derive the degree distribution in the mean-field approximation. Consider the following model to grow simple networks. At time t = 1 the network is formed by no = 3 nodes and mo= 1 link. At each time step t> 1 a new node is added to the network. The node arrives together with 3 new links, which are connected to 3 different nodes already present in the network. The probability II; that a new link is connected to node j is: k II; = 57 where k; indicates the degree of node j, a € [0,1] and Z = 1. Assume that for t> 1 we can approximate Z as ZCt where C is a time-independent constant.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 2 images
Recommended textbooks for you
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Advanced Engineering Mathematics
Advanced Math
ISBN:
9780470458365
Author:
Erwin Kreyszig
Publisher:
Wiley, John & Sons, Incorporated
Numerical Methods for Engineers
Advanced Math
ISBN:
9780073397924
Author:
Steven C. Chapra Dr., Raymond P. Canale
Publisher:
McGraw-Hill Education
Introductory Mathematics for Engineering Applicat…
Advanced Math
ISBN:
9781118141809
Author:
Nathan Klingbeil
Publisher:
WILEY
Mathematics For Machine Technology
Advanced Math
ISBN:
9781337798310
Author:
Peterson, John.
Publisher:
Cengage Learning,