Web3

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Web3 topic overview

The analysis highlights Companies, Terminology and concept and Reception as prominent areas in the source structure around Web3.

Related topics: 71
Source areas: 4
Connected nodes: 75
Extracted relationships: 50
Related term clusters: 28
Bridge connections: 75

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.

Terminology and concept · 29 topics

Overview · 20 topics

Reception · 15 topics

Background · 7 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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Web3

14Iteration · World Wide Web · Decentralized web

21Smart contract · Peer-to-peer networks · Distribution of wealth

10Cornell University · Vaporware · Data collection

11Moxie Marlinspike · Signal (messaging app) · Application programming interfaces

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.

Background

Reception

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Web3 connects Entity context

The extracted context around Web3 shows recurring relationship patterns in the source. For example, Web3 → According Kharif, Big Tech, Bitcoin, Bloomberg, December, DuPont, Ethereum, Gavin Wood, Kharif, NFTs, Olga Kharif, Rohn, Semantic Web, Tim Berners-Lee's, Web, Wood Another extracted example is Web3 → Andreessen Horowitz, DC, December, Discord, Discord CEO Jason Citron, Executives, Fortune, October, On November, Particular, Reddit, The New York Times, Two, Washington, Web. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Terminology and concept · 16

Web3 → According Kharif, Big Tech, Bitcoin, Bloomberg, December, DuPont, Ethereum, Gavin Wood, Kharif, NFTs, Olga Kharif, Rohn, Semantic Web, Tim Berners-Lee's, Web, Wood

related to Reception · 15

Web3 → Andreessen Horowitz, DC, December, Discord, Discord CEO Jason Citron, Executives, Fortune, October, On November, Particular, Reddit, The New York Times, Two, Washington, Web

related to Decentralization · 13

Web3 → Alchemy, Binance, Coinbase, Ethics, Infura, Kevin Werbach, Marlinspike, MetaMask, Moxie Marlinspike, OpenSea, Signal, Tether, Web

is a · 1

Web3 → idea for a new iteration of the World Wide Web which incorporates concepts such as decentralization

Important terminology

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

Important terminology

web blockchain 2021 term cryptocurrency idea technologies companies also decentralized concept semantic referred nfts interest venture due data decentralization described

Web3 relationships Subject–Predicate–Object triples

TTTA extracted 50 structured relationships around Web3. Examples in this analysis include Web3 → is a → idea for a new iteration of the World Wide Web which incorporates concepts such as decentralization and decentralization → instance of → Web3 is an idea for a new iteration of the World Wide Web which incorporates concepts. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Web3	is a	idea for a new iteration of the World Wide Web which incorporates concepts such as decentralization	0.90	text
decentralization	instance of	Web3 is an idea for a new iteration of the World Wide Web which incorporates concepts	0.80	text
blockchain technologies	instance of	Web3 is an idea for a new iteration of the World Wide Web which incorporates concepts	0.80	text
tokenomics	instance of	Web3 is an idea for a new iteration of the World Wide Web which incorporates concepts	0.80	text
and privacy-enhancing technologies	instance of	Web3 is an idea for a new iteration of the World Wide Web which incorporates concepts	0.80	text
NFTs	instance of	and as an extension of harmful and short-lived blockchain-based trends	0.80	text
Web3	related to Decentralization	Ethics	0.60	section
Web3	related to Decentralization	Kevin Werbach	0.60	section
Web3	related to Decentralization	Web	0.60	section
Web3	related to Decentralization	Moxie Marlinspike	0.60	section
Web3	related to Decentralization	Signal	0.60	section
Web3	related to Decentralization	Alchemy	0.60	section

Related concept clusters Related term clusters

The concept neighborhoods around Web3 bring nearby vocabulary together. In this analysis, examples include Blockchain, Web and Decentralized. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Web3
- Blockchain
- Web
- Decentralized
- Semantic
- Concept
- Also
- Cryptocurrency
- Technologies
- Dorsey
- Like
- Marketing
- Data
web3
- Blockchain
- Web
- Decentralized
- Semantic
- Concept
- Also
- Cryptocurrency
- Technologies
- Dorsey
- Like
- Marketing
- Data
world wide web
- Wide
- World
- Decentralization
- Semantic
- Also
- Technologies
- Blockchain
- Web3
- Expressed
- Marketing
- New
- Companies
blockchain technologies
- Term
- Decentralized
- Web3
- Cryptocurrency
- Discord
- Wide
- Wood
- World
- Web
- Idea
- Technologies
- Concept
semantic web
- Sometimes
- Referred
- Semantic
- Web
- Blockchain
- Web3
- Also
- Decentralized
- Companies
- Technologies
- Term
- Content
web 2.0
- Semantic
- Blockchain
- Web3
- Companies
- Also
- Decentralized
- Technologies
- Term
- Content
- Sometimes
- Wide
- Wood
web 1.0
- Semantic
- Blockchain
- Web3
- Companies
- Also
- Decentralized
- Technologies
- Term
- Content
- Sometimes
- Wide
- Wood
history of the world wide web
- Wide
- World
- Decentralization
- Semantic
- Also
- Technologies
- Blockchain
- Web3
- Expressed
- Marketing
- New
- Companies

Connections between topic areas Semantic bridges

For Web3, one of the stronger structural bridges in this analysis connects Web3 with Terminology and concept. 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

Web3 — Terminology and concept · splits 46 ⟂ 30

Web3 — Overview · splits 55 ⟂ 21

Web3 — Reception · splits 60 ⟂ 16

Web3 — Background · splits 68 ⟂ 8

Map overview Semantic statistics

Web3

Nodes76

Edges75

Triples50

Avg. degree1.97

Density0.026316

Components1

Source & methodology

TTTA analyzes the structure around Web3 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Terminology and concept & Reception, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Web3 · EN edition · Analysis: TopicsToTalkAbout

Web3: Companies, Terminology and concept & Reception

Web3 topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Background

Terminology and concept

Reception

For the semantics nerds

Advanced semantic analysis

How Web3 connects Entity context

Web3

Top relations

Important terminology

Important terminology

Web3 relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Web3

Source & methodology