This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/46490
Description
Title
Power Laws and Network Topologies
Author(s)
Han, Xi
Contributor(s)
Srikant, R.
Issue Date
2012-05
Keyword(s)
network theory
network topology
power law
network modeling
Abstract
In this thesis, we study and characterize the network topology at the router level and autonomous system (AS) level. First, we showed why power law distributions may arise in practice by modeling the growth of network parameters using a certain first-order stochastic differential equation. The steady-state of this differential equation exhibits power law behavior. Then, we introduce the preferential attachment model, which is used to explain the observed power law degree distribution in real-world networks. Finally, we use historical data from real networks to show that the degree distribution can be described effectively with power laws or slowly decreasing tails.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.