Detecting Anomalies in Open Source Information Diffusion

Abstract

The adoption of the Internet as a massive information diffusion medium has considerably modified information dynamics. An increasing amount of available information from uncontrolled, various and unreferenced sources makes this new mediatic environment suitable for various information diffusion phenomena like amplification phenomena that may affect significantly political, strategical or economical matters. Strategical or economical intelligence analysts using open sources have to adapt their methods to face significant and changing information flows. In this context, they need automatic tools to select interesting phenomena among large quantities of data. This paper focuses on substantial variations in open source information diffusion that we call anomalies. Firstly, we introduce a model of a website network considering relevant parameters taking part in the dynamics of information flows over the Web. Then we propose a methodology based on this network to detect anomalies.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2009
Accession Number
ADA567968

Entities

People

  • Antoine Carre
  • Francois Nel
  • Philippe Capet
  • Thomas Delavallade

Organizations

  • École polytechnique

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Amplification
  • Analysts
  • Anomaly Detection
  • Biological Sciences
  • Change Detection
  • Computer Science
  • Databases
  • Detection
  • Diffusion
  • Dynamics
  • Intelligence Analysts
  • Internet
  • Networks
  • Social Media
  • Social Networking Services
  • Websites

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design