The Flow of Digital News in a Network of Sources, Authorities, and Hubs

Authors

  • Matthew S. Weber,

    Corresponding author
    1. School of Communication and Information, Rutgers University, New Brunswick, NJ 08901, USA
      Matthew S. Weber; e-mail: matthew.weber@rutgers.edu
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  • Peter Monge

    1. Annenberg School for Communication and Journalism, University of Southern California, Los Angeles, CA 90089, USA
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Matthew S. Weber; e-mail: matthew.weber@rutgers.edu

Abstract

This article presents an analysis of the flow of information in a network of online news sites. Social network theory and research on hyperlinked networks of Web pages are used to develop a model of information flow among Web sites. Kleinberg's authority-hub model is extended by introducing sources of information in the network. Significant support was found for a Source–Authority–Hub model, which shows the source, directionality, routing, and destination of news information flow through a network of authorities and hubs. This model demonstrates the ability of key Web sites to control the flow of news and information. Applications of the model to over-time data have the potential to predict future changes in the online news industry.

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