Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Driving under the influence: Definition, Other drugs & Worldwide
Driving under the influence (DUI) or driving while intoxicated (DWI) is the crime of driving, operating, or being in control of a vehicle while one is impaired from doing so safely by the effect of either alcohol (see drunk driving) or some other drug, whether recreational or prescription (see drug-impaired driving). Multiple other terms are used for the…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Driving under the influence topic overview
The analysis highlights Definition, Other drugs and Worldwide as prominent areas in the source structure around Driving under the influence.
Related topics
52
Source areas
8
Connected nodes
60
Extracted relationships
78
Concept neighborhoods
25
Bridge connections
60
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.
Definition · 16 topics
Other drugs · 11 topics
Overview · 9 topics
Worldwide · 6 topics
Other charges · 4 topics
Testing · 3 topics
Alcohol · 2 topics
Terminology · 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 Driving under the influence 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 Driving under the influence shows recurring relationship patterns in the source. For example, Driving under the influence → Act, Bill, Canadian, Colorado, DRE, Drivers, DUI, However, In, In Canada, In Colorado, Manitoba, Medical Journal, Ontario, Royal Canadian Mounted Police, SFSTs, Standard Field Sobriety Tests, THC, The, Transportation Statute Law Amendment Another extracted example is Driving under the influence → Alcohol-related DUI, Cannabis-related DUI, DIC, DUI, DUID, DUII, DWI, In, OPL, OUI, OVI, OWI, The, UK, UK/Ireland/Australia, United States, US. Use these groups to spot repeated connection types before inspecting the individual relationships.
Driving under the influence
Top relations
related to Recreational drugs· 21
Driving under the influence → Act, Bill, Canadian, Colorado, DRE, Drivers, DUI, However, In, In Canada, In Colorado, Manitoba, Medical Journal, Ontario, Royal Canadian Mounted Police, SFSTs, Standard Field Sobriety Tests, THC, The, Transportation Statute Law Amendment
related to Terminology· 17
Driving under the influence → Alcohol-related DUI, Cannabis-related DUI, DIC, DUI, DUID, DUII, DWI, In, OPL, OUI, OVI, OWI, The, UK, UK/Ireland/Australia, United States, US
related to European Union· 16
Driving under the influence → Among, BAC, Belgium, ESRA3, ETSC, EU, EU-wide, European, European Survey, European Transport Safety Council, In, Luxembourg, Motointegrator, Poland, Road Users' Attitudes, The
related to Alcohol· 5
Driving under the influence → British English, Drunk, In, It, United States
related to Penalties· 4
Driving under the influence → American, In, The, The German
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.
Driving under the influence 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 78 structured relationships around Driving under the influence. Examples in this analysis include tractors → instance of → use of mobile farm machinery and marijuana or hashish can be charged → instance of → tested positive for a drug other than alcohol or cannabis.Recreational drugsDrivers who have smoked or otherwise consumed cannabis products. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
tractors
instance of
use of mobile farm machinery
0.80
text
combine harvesters
instance of
use of mobile farm machinery
0.80
text
riding horses or driving a horse-drawn vehicle
instance of
use of mobile farm machinery
0.80
text
cycling
instance of
use of mobile farm machinery
0.80
text
or skateboarding
instance of
use of mobile farm machinery
0.80
text
possibly with different BAC level than regular driving
instance of
use of mobile farm machinery
0.80
text
marijuana or hashish can be charged
instance of
tested positive for a drug other than alcohol or cannabis.Recreational drugsDrivers who have smoked or otherwise consumed cannabis products
0.80
text
convicted of impaired driving in some jurisdictions
instance of
tested positive for a drug other than alcohol or cannabis.Recreational drugsDrivers who have smoked or otherwise consumed cannabis products
0.80
text
the Royal Canadian Mounted Police have
instance of
police forces
0.80
text
excessive drowsiness
instance of
Prescription medicationsPrescription medications such as opioids and benzodiazepines often cause side effects
0.80
text
and
instance of
Prescription medicationsPrescription medications such as opioids and benzodiazepines often cause side effects
0.80
text
in the case of opioids
instance of
Prescription medicationsPrescription medications such as opioids and benzodiazepines often cause side effects
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 Driving under the influence bring nearby vocabulary together. In this analysis, examples include Impaired, Dui and Influence. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Driving under the influence
Impaired
Dui
Influence
Alcohol
Drunk
Drivers
Vehicle
Drugs
Drug
Use
Motor
Operating
driving under the influence
Impaired
Dui
Influence
Alcohol
Drunk
Drivers
Operating
Vehicle
States
Drugs
Intoxicated
Drug
driving
Impaired
Dui
Influence
Alcohol
Drunk
Drivers
Vehicle
Drugs
Drug
Use
Operating
Dwi
vehicle
Motor
Dui
Intoxicated
Influence
Operating
Dwi
Offense
Drugs
Driving
May
Drunk
Generally
alcohol
Drugs
Driving
Dwi
Drug
Impaired
Drivers
Drunk
Cannabis
Study
Influence
Dui
Evaluation
drunk driving
Impaired
Dui
Influence
Alcohol
Drunk
Drivers
Intoxicated
Driver
Vehicle
Drugs
Dwi
Drug
drug
Drivers
Evaluation
Field
Sobriety
Tests
Cannabis
Us
Impaired
Driver
Police
Study
Use
drug-impaired driving
Impaired
Dui
Influence
Alcohol
Drunk
Drivers
Vehicle
Drugs
Drug
Use
Operating
Dwi
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 Driving under the influence, one of the stronger structural bridges in this analysis connects Driving under the influence with Definition. 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
Driving under the influence — Definition· splits 44 ⟂ 17Driving under the influence — Other drugs· splits 49 ⟂ 12Driving under the influence — Overview· splits 51 ⟂ 10Driving under the influence — Worldwide· splits 54 ⟂ 7Driving under the influence — Other charges· splits 56 ⟂ 5Driving under the influence — Testing· splits 57 ⟂ 4Driving under the influence — Alcohol· splits 58 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Driving under the influence
Nodes61
Edges60
Triples78
Avg. degree1.97
Density0.032787
Components1
Source & methodology
TTTA analyzes the structure around Driving under the influence to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Definition, Other drugs & Worldwide, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
