Find related topics. | Discover entities. | See connections. | Build a topical map.
Universal basic income: History, Perspectives and arguments & Pilot programs and experiments
Universal basic income (UBI) is a social welfare proposal in which all members of a given population regularly receive a minimum income in the form of an unconditional transfer payment, i.e., without a means test or need to perform work. In contrast, a guaranteed minimum income (GMI) is paid only to those who do not already receive an income that is…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Universal basic income topic overview
The analysis highlights History, Perspectives and arguments and Pilot programs and experiments as prominent areas in the source structure around Universal basic income.
Related topics
195
Source areas
7
Connected nodes
202
Extracted relationships
122
Related term clusters
37
Bridge connections
202
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.
History · 59 topics
Pilot programs and experiments · 48 topics
Overview · 33 topics
Perspectives and arguments · 27 topics
Payments with similarities · 13 topics
Petitions, polls and referendums · 12 topics
Basic income vs negative income tax · 3 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.
Start with your topic. Discover where to go next.
Explore different angles and find fresh ideas to shape your next piece of content.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
Advanced semantic analysis
How Universal basic income connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Universal basic income shows recurring relationship patterns in the source. For example, Universal basic income → August, Chicago, Contributions, Cook County, COVID-19, Delhi, East Finchley, England, From July, Germany, Government, Gyeonggi Province, Hudson, HudsonUP, Humanity Forward Foundation, Illinois, In August, In February, In July, In June Another extracted example is Universal basic income → Also, Americans, An October, August, Australians, Austrian, Change, Chicago, Commission, COVID-19, EU's, EU-member, European Citizens' Initiative, European Commission, Europeans, February, Gallup, German, Germany, Hill-HarrisX. Use these groups to spot repeated connection types before inspecting the individual relationships.
Universal basic income
Top relations
related to 2020−present· 42
Universal basic income → August, Chicago, Contributions, Cook County, COVID-19, Delhi, East Finchley, England, From July, Germany, Government, Gyeonggi Province, Hudson, HudsonUP, Humanity Forward Foundation, Illinois, In August, In February, In July, In June
related to Petitions, polls and referendums· 41
Universal basic income → Also, Americans, An October, August, Australians, Austrian, Change, Chicago, Commission, COVID-19, EU's, EU-member, European Citizens' Initiative, European Commission, Europeans, February, Gallup, German, Germany, Hill-HarrisX
related to 21st century· 15
Universal basic income → AI, Andrew Yang, California, Elon Musk, Famous, Income, Jeremy Corbyn, Mayor Michael Tubbs, Pierre Omidyar, Public Policy Research, Stockton, The Institute, The Swiss, Tulsi Gabbard, Universal
related to Economist opinions· 7
Universal basic income → Barry Eichengreen, Caroline Hoxby, Daron Acemoglu, Markus Brunnermeier, Oliver Hart, Social Security, UBI
related to Philosophy and morality· 4
Universal basic income → Opponents, Proponents, Responsibility, UBI
related to Inflation of labor and rental costs· 3
Universal basic income → One, Public, UBI
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Universal basic income relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 122 structured relationships around Universal basic income. Examples in this analysis include helicopter money → instance of → universal basic income and similar proposals and rent controls or land value taxation would likely affect the inflationary potential of universal basic income.WorkMany critics of basic income argue that people → instance of → Public policy choices. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
helicopter money
instance of
universal basic income and similar proposals
0.80
text
cash transfers were increasingly discussed across the world
instance of
universal basic income and similar proposals
0.80
text
rent controls or land value taxation would likely affect the inflationary potential of universal basic income.WorkMany critics of basic income argue that people
instance of
Public policy choices
0.80
text
in general
instance of
Public policy choices
0.80
text
will work less
instance of
Public policy choices
0.80
text
which in turn means less tax revenue
instance of
Public policy choices
0.80
text
less money for the state
instance of
Public policy choices
0.80
text
local governments
instance of
Public policy choices
0.80
text
rent controls or land value taxation would likely affect the inflationary potential of universal basic income
instance of
Public policy choices
0.80
text
sending their children to school or having them vaccinated
instance of
It is usually dependent on basic conditions
0.80
text
Universal basic income
related to 2020−present
Swiss
0.60
section
Universal basic income
related to 2020−present
Social Income
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Universal basic income bring nearby vocabulary together. In this analysis, examples include Income, Universal and Money. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Universal basic income
Income
Universal
Money
Guaranteed
Work
Could
Government
Month
Support
New
Welfare
Would
universal basic income
Income
Universal
Tax
Money
People
Guaranteed
Negative
Work
Would
Could
Government
Month
social welfare
System
Welfare
Universal
New
Work
State
Money
Support
Tax
Would
Jobs
May
income
Universal
Tax
Guaranteed
Negative
People
Would
Money
System
Work
Also
Citizens
Economic
guaranteed minimum income
Universal
Tax
Guaranteed
Income
Month
Program
Negative
People
Citizens
Would
Money
System
negative income tax
Tax
Universal
Receive
Guaranteed
Money
Negative
People
Would
Programs
System
Work
Also
social security
System
Welfare
Universal
New
Money
Work
Support
Tax
Would
Also
Paid
Receive
social credit
System
Welfare
Universal
New
Money
Work
Support
Tax
Would
Also
Paid
Receive
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Universal basic income, one of the stronger structural bridges in this analysis connects Universal basic income with History. 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
Universal basic income — History· splits 143 ⟂ 60Universal basic income — Pilot programs and experiments· splits 154 ⟂ 49Universal basic income — Overview· splits 169 ⟂ 34Universal basic income — Perspectives and arguments· splits 175 ⟂ 28Universal basic income — Payments with similarities· splits 189 ⟂ 14Universal basic income — Petitions, polls and referendums· splits 190 ⟂ 13Universal basic income — Basic income vs negative income tax· splits 199 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Universal basic income
Nodes203
Edges202
Triples122
Avg. degree1.99
Density0.009852
Components1
Source & methodology
TTTA analyzes the structure around Universal basic income to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Perspectives and arguments & Pilot programs and experiments, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
