Journal article
Approximating the Geographical Characteristics of Internet Activity
The Journal of urban technology, v 18(1)
01 Jan 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Capturing the flow of information between cities is a challenging task. Historically, flow analyses have focused on goods, capital, and people, all of which can serve as proxies for estimating the volume of spatial interaction between places. However, with the advent of the Internet and its ability to both facilitate and accelerate the exchange of information, it is somewhat surprising that so few studies have examined the geographical characteristics of Internet flows. Aside from the initial challenges associated in acquiring network flow data, there are additional constraints inhibiting such efforts, including privacy concerns, the geographic rectification of flows, and the ability to manage and visualize massive datasets. The purpose of this paper is to outline a basic methodology for capturing Internet flow data and to provide a brief empirical analysis of these data for the Internet2 network in the United States. Results suggest that asymmetries exist between ingress and egress connectivity and flows throughout the United States.
Metrics
Details
- Title
- Approximating the Geographical Characteristics of Internet Activity
- Creators
- Tony H. Grubesic - Drexel UniversityTimothy C. Matisziw - University of MissouriDavid A. J. Ripley - Indiana University
- Publication Details
- The Journal of urban technology, v 18(1)
- Publisher
- Taylor & Francis
- Number of pages
- 21
- Grant note
- 1103637 / Division Of Behavioral and Cognitive Sci; National Science Foundation (NSF); NSF - Directorate for Social, Behavioral & Economic Sciences (SBE)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000291271900005
- Scopus ID
- 2-s2.0-79957849750
- Other Identifier
- 991019357639404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Urban Studies