Cart (Loading....) | Create Account
Close category search window
 

An observation of power law distribution in dynamic networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Diamond, L.E. ; Operations Res. Modeling & Simulation Office, Ft. Meade, MD, USA ; Gaston, M.E. ; Kraetzl, M.

Network dynamics has become a popular area of study because of the evolutionary and adaptive nature of networks over time. Therefore, abnormal change detection is critical to the understanding and control of network dynamics. This paper presents differences in graph diameter as a method for detecting abnormal changes in a network time series. A formal definition of graph diameter is presented, as are theoretical implications, examples and computational results. An apparent means for characterization of network state without dependence on other networks in the time series is presented, which is also based on the network diameter. This leads directly to the ability to identify anomalous change and to characterize the effects on the network communications. The power law distribution of this diameter characterization demonstrates network susceptibility and leads to a better understanding of the network behavior.

Published in:

Information, Decision and Control, 2002. Final Program and Abstracts

Date of Conference:

11-13 Feb. 2002

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.