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Jon Rafman: Works, Career, Art & Technology
Jon Rafman (born 1981) is a Canadian artist, filmmaker, and essayist. His work centers around the emotional, social and existential impact of technology on contemporary life. His artwork has gained international attention and was exhibited in 2015 at Musée d'art contemporain de Montréal (Montreal) and Stedelijk Museum Amsterdam. He is widely known for…
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Jon Rafman topic overview
The analysis highlights Works, Career, Art and Technology as prominent areas in the source structure around Jon Rafman.
Related topics
44
Source areas
6
Connected nodes
50
Extracted relationships
80
Concept neighborhoods
25
Bridge connections
50
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.
Career · 22 topics
Exhibitions · 9 topics
Work · 7 topics
Overview · 3 topics
Biography · 2 topics
Publications with contributions by Rafman · 1 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.
Explore all related topics Closing gaps
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Jon Rafman 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 Jon Rafman shows recurring relationship patterns in the source. For example, Jon Rafman → Amsterdam, April, Berlin, Bochum, Carl Kostyál, Concern, December-March, Düsseldorf, February, Future Gallery, Giardini, Grimoires, Humlebæk, January, Journal, June, La Casa Encendida, London, Louisiana Museum, Madrid Another extracted example is Jon Rafman → Berlin Biennale, Brooklyn-based, Daniel Lopatin, Delete, Garden, Google Street View, He, His, In September, Jon Rafman's, Lopatin's, Lyon Biennale, Manifesta, Nine Eyes, Oneohtrix Point Never, Plus Seven, Post-Internet, Rafman, Sticky Drama, Still Life. Use these groups to spot repeated connection types before inspecting the individual relationships.
Jon Rafman
Top relations
related to Solo exhibitions· 53
Jon Rafman → Amsterdam, April, Berlin, Bochum, Carl Kostyál, Concern, December-March, Düsseldorf, February, Future Gallery, Giardini, Grimoires, Humlebæk, January, Journal, June, La Casa Encendida, London, Louisiana Museum, Madrid
related to Career· 23
Jon Rafman → Berlin Biennale, Brooklyn-based, Daniel Lopatin, Delete, Garden, Google Street View, He, His, In September, Jon Rafman's, Lopatin's, Lyon Biennale, Manifesta, Nine Eyes, Oneohtrix Point Never, Plus Seven, Post-Internet, Rafman, Sticky Drama, Still Life
related to cloudyheart· 4
Jon Rafman → AI-driven, In, Rafman, Twitter
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.
Jon Rafman 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 80 structured relationships around Jon Rafman. Examples in this analysis include Jon Rafman → related to Career → Jon Rafman's and Jon Rafman → related to Career → Post-Internet. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Jon Rafman
related to Career
Jon Rafman's
0.60
section
Jon Rafman
related to Career
Post-Internet
0.60
section
Jon Rafman
related to Career
He
0.60
section
Jon Rafman
related to Career
Nine Eyes
0.60
section
Jon Rafman
related to Career
Google Street View
0.60
section
Jon Rafman
related to Career
His
0.60
section
Jon Rafman
related to Career
Venice Biennale
0.60
section
Jon Rafman
related to Career
Lyon Biennale
0.60
section
Jon Rafman
related to Career
Berlin Biennale
0.60
section
Jon Rafman
related to Career
Manifesta
0.60
section
Jon Rafman
related to Career
In September
0.60
section
Jon Rafman
related to Career
Rafman
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods 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 Jon Rafman bring nearby vocabulary together. In this analysis, examples include Rafman, Rafman's and Art. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Jon Rafman
Rafman
Rafman's
Art
Project
Street
View
Amsterdam
De
Inspired
International
Journal
Magers
jon rafman
Rafman
Art
Rafman's
Project
Street
View
Amsterdam
De
Inspired
International
Journal
Magers
kool-aid man
Man
Second
Virtual
Life
Journal
Dream
Eyes
World
Nine
Magers
Stedelijk
Berlin
the museum of modern art
Gallery
New
Stedelijk
Modern
Museum
World
Art
Work
Contemporary
De
Magers
Berlin
work
Life
Technology
Modern
Second
Google
Street
View
Rafman's
Amsterdam
Contemporary
Inspired
International
contemporary art galleries association
New
Gallery
Museum
Art
Contemporary
De
Magers
Stedelijk
Technology
Berlin
Modern
World
museum of contemporary art of rome
Gallery
Stedelijk
New
Modern
World
Art
Museum
Contemporary
De
Magers
Technology
Berlin
museum of contemporary canadian art
Gallery
Stedelijk
New
Modern
World
Art
Museum
Contemporary
De
Magers
Technology
Berlin
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 Jon Rafman, one of the stronger structural bridges in this analysis connects Jon Rafman with Career. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Jon Rafman
Nodes51
Edges50
Triples80
Avg. degree1.96
Density0.039216
Components1
Source & methodology
TTTA analyzes the structure around Jon Rafman to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Career, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
