2020/05/27 by Kevin O’Keeffe, O'Keeffe, Kevin P., Virgil Griffith +6
Computer Science · Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #Complex Network Analysis Techniques #FOS: Physical sciences #Opinion Dynamics and Social Influence #Peer-to-Peer Network Technologies #Physics and Society (physics.soc-ph)
paper · pdf · doi:10.48550/arxiv.2005.14023
openalex publication_date 2020/05/27 · openalex created_date 2020/06/05 · openalex updated_date 2026/07/28
We analyse the darkweb and find its structure is unusual. For example, ∼ 87 % of darkweb sites 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.