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Correlation Based Tools for Analysis of Dynamic Networks


Abstract Time series analysis of dynamic networks is an important area of study that helps in predicting changes in networks. Changes in networks are used to analyze deviations in the network characteristics. This analysis helps in characterizing any network that has dynamic behavior. This area of study has applications in many domains such as communication networks, climate networks, social networks, transportation networks, and biological networks. The aim of this research is to analyze the structural characteristics of such dynamic networks. This thesis examines tools that help to analyze the structure of the networks and explores a technique for computation and analysis of a large climate dataset. The computations for analyzing the structural ch... (more)
Created Date 2011
Contributor Paramasivam, Kumaraguru (Author) / Colbourn, Charles J (Advisor) / Sen, Arunabhas (Committee member) / Syrotiuk, Violet R (Committee member) / Arizona State University (Publisher)
Subject Computer Science
Type Masters Thesis
Extent 69 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note M.S. Computer Science 2011
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis