Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Graph theoretic properties of the Dark Web

Conference Paper
Publication Date:
2020
abstract:
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 propose a simple network growth model that reasonably captures the data, and 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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Network analysis; clustering
List of contributors:
Santi, Paolo
Authors of the University:
SANTI PAOLO
Handle:
https://iris.cnr.it/handle/20.500.14243/390356
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)