2017/04/25 by Virgil Griffith, Yang Xu, Griffith, Virgil +3
Computer Science · Physics and Astronomy · #Caching and Content Delivery #Complex Network Analysis Techniques #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Social and Information Networks (cs.SI) #Web Data Mining and Analysis
paper · pdf · doi:10.48550/arxiv.1704.07525
openalex publication_date 2017/04/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We collect and analyze the darkweb (a.k.a. the "onionweb") hyperlink graph. We find properties highly dissimilar to the well-studied world wide web hyperlink graph; for example, our analysis finds that >87% of darkweb sites never link to another site. We compare our results to prior work on world-wide-web and speculate about reasons for their differences. We conclude that in the term "darkweb", the word "web" is a connectivity misnomer. Instead, it is more accurate to view the darkweb as a set of largely isolated dark silos.