DeepDotWeb

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DeepDotWeb topic overview

The analysis highlights Products, Coverage and Domain seizure as prominent areas in the source structure around DeepDotWeb.

Related topics: 21
Source areas: 4
Connected nodes: 25
Extracted relationships: 32
Concept neighborhoods: 11
Bridge connections: 25

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Coverage · 9 topics

Overview · 6 topics

Domain seizure · 4 topics

Criminal charges · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Owner: Tal Prihar, Michael Phan
Available in: English
Current status: Seized on May 7, 2019; 7 years ago (2019-05-07)
Launched: October 2013
Type of site: Technology news and information

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Dark web
Darknet markets Darknet market
Tor hidden services Tor (anonymity network)
Privacy
Bitcoin
Affiliate marketing

Coverage

Pedophile
Crowdfunding
Hacking Hacker (computer security)
TheRealDeal
Software exploits Exploit (computer security)
Blacklisted Blacklisting
McAfee
Ransomware
-as-a-service Software as a service

Domain seizure

.onion
EUROPOL
National Crime Agency
Bundeskriminalamt Federal Criminal Police Office (Germany)

Criminal charges

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How DeepDotWeb connects Entity context

The extracted context around DeepDotWeb shows recurring relationship patterns in the source. For example, DeepDotWeb → According, AlphaBay, Darknet, Department, In March, In May, Justice, Michael Phan, Tal Prihar, United States, United States Department Another extracted example is DeepDotWeb → Bitcoin, British National Crime Agency, Domain Seizure, EUROPOL, FBI, German Bundeskriminalamt, On May, The, The Israeli. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Criminal charges · 11

DeepDotWeb → According, AlphaBay, Darknet, Department, In March, In May, Justice, Michael Phan, Tal Prihar, United States, United States Department

related to Domain seizure · 9

DeepDotWeb → Bitcoin, British National Crime Agency, Domain Seizure, EUROPOL, FBI, German Bundeskriminalamt, On May, The, The Israeli

related to Coverage · 6

DeepDotWeb → Coverage, In May, McAfee, Site, TheRealDeal, Tox

Available in · 1

DeepDotWeb → English

Current status · 1

DeepDotWeb → Seized on May 7, 2019; 7 years ago (2019-05-07)

Launched · 1

DeepDotWeb → October 2013

Owner · 1

DeepDotWeb → Tal Prihar, Michael Phan

Type of site · 1

DeepDotWeb → Technology news and information

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

site money laundering tal prihar darknet markets conspiracy commit web may dark 2019 administrator charge bitcoin news reviews affiliate received

DeepDotWeb relationships Subject–Predicate–Object triples

TTTA extracted 32 structured relationships around DeepDotWeb. Examples in this analysis include DeepDotWeb → Available in → English and DeepDotWeb → Current status → Seized on May 7, 2019; 7 years ago (2019-05-07). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
DeepDotWeb	Available in	English	1.00	infobox
DeepDotWeb	Current status	Seized on May 7, 2019; 7 years ago (2019-05-07)	1.00	infobox
DeepDotWeb	Launched	October 2013	1.00	infobox
DeepDotWeb	Owner	Tal Prihar, Michael Phan	1.00	infobox
DeepDotWeb	Type of site	Technology news and information	1.00	infobox
TheRealDeal selling software exploits	instance of	as well as the diversification of markets	0.80	text
DeepDotWeb	related to Coverage	Coverage	0.60	section
DeepDotWeb	related to Coverage	TheRealDeal	0.60	section
DeepDotWeb	related to Coverage	Site	0.60	section
DeepDotWeb	related to Coverage	In May	0.60	section
DeepDotWeb	related to Coverage	McAfee	0.60	section
DeepDotWeb	related to Coverage	Tox	0.60	section

Related concept clusters Concept neighborhoods

The concept neighborhoods around DeepDotWeb bring nearby vocabulary together. In this analysis, examples include Darknet, Web and According. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

DeepDotWeb
- Darknet
- Web
- According
- Bitcoin
- Domain
- Hacking
- Market
- News
- Seizure
- Dark
- Markets
- May
deepdotweb
- Darknet
- Web
- According
- Bitcoin
- Domain
- Hacking
- Market
- News
- Seizure
- Dark
- Markets
- May
darknet markets
- Markets
- Hacking
- Included
- News
- Received
- Reviews
- Deepdotweb
- Site
- Coverage
- Privacy
- According
- Affiliate
united states department of justice
- States
- United
- According
- Hacking
- Michael
- Owners
- Phan
- Received
- Charge
- Commit
- Conspiracy
- Darknet
dark web
- Dark
- Web
- Bitcoin
- Deepdotweb
- Privacy
- News
- Reviews
- Links
- Market
- Owners
- Darknet
- Markets
hacking
- According
- Included
- Market
- Michael
- News
- Phan
- Received
- Seizure
- States
- United
- Markets
- Prihar
coverage
- Domain
- Hacking
- Included
- Market
- Michael
- News
- Phan
- Seizure
- Darknet
- Markets
- Prihar
- Tal
domain seizure
- Seizure
- Hacking
- Included
- Market
- Michael
- News
- Notice
- Phan
- Markets
- May
- Prihar
- Tal

Connections between topic areas Semantic bridges

For DeepDotWeb, one of the stronger structural bridges in this analysis connects DeepDotWeb with Coverage. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

DeepDotWeb — Coverage · splits 16 ⟂ 10

DeepDotWeb — Overview · splits 19 ⟂ 7

DeepDotWeb — Domain seizure · splits 21 ⟂ 5

DeepDotWeb — Criminal charges · splits 23 ⟂ 3

Map overview Semantic statistics

DeepDotWeb

Nodes26

Edges25

Triples32

Avg. degree1.92

Density0.076923

Components1

Source & methodology

TTTA analyzes the structure around DeepDotWeb to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Coverage & Domain seizure, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — DeepDotWeb · EN edition · Analysis: TopicsToTalkAbout