Temporal Comparisons of Internet Topology

Abstract

Network science and its many applications provide insight into several genres, including biological, neural, logistical and technical problems. The study of complex networks extends to the Internet as well, merging graph theoretical concepts with those of computer science in an effort to perform Internet topology measurements, ultimately contributing to inferred Internet mapping. In this research, we examine whether the time of day is a factor when measuring Internet topology. In doing so, we employ graph measures, statistical measures, and complex network measures to compare graphs inferred from probes of the Internet via network monitors. Using comparisons of these measures, we did not find indication that time was a factor for the seven probing cycles examined in this study.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2014
Accession Number
ADA608153

Entities

People

  • Jamar E. Wright

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Applied Mathematics
  • Autonomous Systems
  • Communication Networks
  • Computer Network Security
  • Computer Networks
  • Computers
  • Data Sets
  • Graph Theory
  • Information Science
  • Information Systems
  • Intellectual Property
  • Network Protocols
  • Network Science
  • Network Topology
  • Social Media
  • Statistical Analysis

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Neural Network Machine Learning.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference