The darkweb: a social network anomaly

Authors: Kevin P. O'Keeffe, Virgil Griffith, Yang Xu, Paolo Santi, Carlo Ratti

arXiv: 2005.14023v2 - DOI (physics.soc-ph)
arXiv admin note: substantial text overlap with arXiv:1704.07525

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In their study titled "The Darkweb: A Social Network Anomaly," Kevin P. O'Keeffe, Virgil Griffith, Yang Xu, Paolo Santi and Carlo Ratti analyze the structure of the darkweb and discover its unusual nature. They find that approximately 87% of darkweb sites never link to another site, leading them to conclude that calling it a "web" is misleading. Instead, they describe it as a collection of isolated dark silos. To understand the distinct behavior of darkweb users compared to those on the World Wide Web (WWW), the researchers conduct a detailed comparison between the two networks. They observe that the siloed structure of the darkweb significantly differs from other social networks, indicating unique social behavior among its users. While a generalized preferential attachment model partially explains the peculiar topology of the darkweb, understanding the anomalous behavior exhibited by its users remains elusive. Nonetheless, these findings hold relevance for network scientists, social scientists and other researchers interested in studying large-scale social interactions among diverse agents. Overall, this study sheds light on the unconventional characteristics of the darkweb and highlights its divergence from traditional web structures and user behaviors.
AI-generated keywords: Darkweb Social Network Anomaly Structure Behavior

AI-generated Key Points

  • 87% of darkweb sites do not link to another site
  • Darkweb is described as a collection of isolated dark silos
  • Distinct behavior of darkweb users compared to WWW users
  • Siloed structure of the darkweb differs from other social networks
  • Generalized preferential attachment model partially explains topology of the darkweb
  • Anomalous behavior exhibited by darkweb users remains elusive
  • Findings hold relevance for network scientists, social scientists, and other researchers studying large-scale social interactions
  • Darkweb has unconventional characteristics and diverges from traditional web structures and user behaviors
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Abstract: We analyse the darkweb and find its structure is unusual. For example, $ \sim 87 \%$ of darkweb sites \emph{never} link to another site. To call the darkweb a "web" is thus a misnomer -- it's better described as a set of largely isolated dark silos. As we show through a detailed comparison to the World Wide Web (www), this siloed structure is highly dissimilar to other social networks and indicates the social behavior of darkweb users is much different to that of www users. We show a generalized preferential attachment model can partially explain the strange topology of the darkweb, but an understanding of the anomalous behavior of its users remains out of reach. Our results are relevant to network scientists, social scientists, and other researchers interested in the social interactions of large numbers of agents.

Submitted to arXiv on 27 May. 2020

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