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Cloud-chasing: History & Art
Cloud-chasing is the activity of blowing large clouds of vapor using an electronic cigarette. Using the devices for "cloud-chasing" began in the West Coast of the US. The exact origins of the activity are unclear, but most competitive e-cigarette users say that it started around 2012. Competitive vaping is increasing in popularity internationally…
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Cloud-chasing topic overview
The analysis highlights History and Art as prominent areas in the source structure around Cloud-chasing.
Related topics
29
Source areas
8
Connected nodes
37
Extracted relationships
88
Concept neighborhoods
13
Bridge connections
37
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.
Overview · 10 topics
Prevalence · 7 topics
Debate · 3 topics
Usage · 3 topics
Health concerns · 2 topics
History · 2 topics
Competitions · 1 topics
Related practices · 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 Cloud-chasing 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 Cloud-chasing shows recurring relationship patterns in the source. For example, Cloud-chasing → Adolescents, Canada, Contests, Gizmodo, HuffPost, In, Indonesia, Instagram, It, Many, Mashable, Most, New Jersey, One, Since, Social, Some, Southern California, Students, Teenagers Another extracted example is Cloud-chasing → Alcohol, As, Cheryl Richter, Council, Drug Abuse, In, Long-term, Many, National Vapers Club, Others, Selena Rockwell, Some, That's, Though, Transportation, US Department. Use these groups to spot repeated connection types before inspecting the individual relationships.
Cloud-chasing
Top relations
related to Prevalence· 27
Cloud-chasing → Adolescents, Canada, Contests, Gizmodo, HuffPost, In, Indonesia, Instagram, It, Many, Mashable, Most, New Jersey, One, Since, Social, Some, Southern California, Students, Teenagers
related to Debate· 16
Cloud-chasing → Alcohol, As, Cheryl Richter, Council, Drug Abuse, In, Long-term, Many, National Vapers Club, Others, Selena Rockwell, Some, That's, Though, Transportation, US Department
Cloud-chasing → Electronic, Formula One, Hon Lik, The, This, US, Using, West Coast, When, You
is a· 3
Cloud-chasing → activity of blowing large clouds of vapor using an electronic cigarette, recreational activity and a hobby, recreational activity and a hobby.Some cloud-chasers known as
instance of· 1
Cloud-chasing → almost half of vaping trade show organizations promote contests
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.
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 88 structured relationships around Cloud-chasing. Examples in this analysis include Cloud-chasing → is a → activity of blowing large clouds of vapor using an electronic cigarette and Cloud-chasing → is a → recreational activity and a hobby.Some cloud-chasers known as. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Cloud-chasing
is a
activity of blowing large clouds of vapor using an electronic cigarette
0.90
text
Cloud-chasing
is a
recreational activity and a hobby.Some cloud-chasers known as
0.90
text
Cloud-chasing
is a
recreational activity and a hobby
0.90
text
Mashable
instance of
when sites
0.80
text
Gizmodo
instance of
when sites
0.80
text
The Guardian
instance of
when sites
0.80
text
and HuffPost ran featured articles on the activity
instance of
when sites
0.80
text
cloud-chasing
instance of
almost half of vaping trade show organizations promote contests
0.80
text
rings
instance of
sometimes in shapes
0.80
text
balls
instance of
sometimes in shapes
0.80
text
streams
instance of
sometimes in shapes
0.80
text
or ripples
instance of
sometimes in shapes
0.80
text
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 Cloud-chasing bring nearby vocabulary together. In this analysis, examples include Using, Contests and Shops. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Cloud-chasing
Using
Contests
Shops
Vaping
Us
Vape
Began
Vapers
Devices
Many
Competitions
Vapor
cloud-chasing
Using
Contests
Shops
Vaping
Us
Vape
Began
Vapers
Devices
Many
Competitions
Vapor
clouds of vapor
Large
Vapor
Called
Part
Take
Youtube
Vapers
One
Exhaling
Contests
Users
Known
banned e-cigarette use
Users
Many
Use
Vape
Meets
Tricks
Vapor
Us
Large
Ohm
Called
E-liquid
west coast of the us
Competitive
Vape
Competitions
Using
Cloud
E-cigarette
Vaping
Shops
One
Contests
Users
Many
us department of transportation
Competitive
Vape
Competitions
Using
Cloud
E-cigarette
Vaping
Shops
One
Contests
Users
Many
youtube
E-cigarettes
Social
Media
Clouds
Tricks
Using
Blowing
Vape
Large
Vapor
Vaping
formula one
Part
Take
Tricks
Vape
Vapers
Vaping
Us
Users
Vapor
Use
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 Cloud-chasing, one of the stronger structural bridges in this analysis connects Cloud-chasing with Overview. 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.
Cloud-chasing
Nodes38
Edges37
Triples88
Avg. degree1.95
Density0.052632
Components1
Source & methodology
TTTA analyzes the structure around Cloud-chasing to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
