English

The darkweb: a social network anomaly

Physics and Society 2020-06-04 v2 Adaptation and Self-Organizing Systems

Abstract

We analyse the darkweb and find its structure is unusual. For example, 87% \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.

Keywords

Cite

@article{arxiv.2005.14023,
  title  = {The darkweb: a social network anomaly},
  author = {Kevin P. O'Keeffe and Virgil Griffith and Yang Xu and Paolo Santi and Carlo Ratti},
  journal= {arXiv preprint arXiv:2005.14023},
  year   = {2020}
}

Comments

arXiv admin note: substantial text overlap with arXiv:1704.07525

R2 v1 2026-06-23T15:53:07.548Z