Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Distraction: Works, In fiction & In medicine

Distraction is the process of diverting the attention of an individual or group from a desired area of focus and thereby blocking or diminishing the reception of desired information. Distraction is caused by: inability to pay attention; lack of interest in the object of attention; or the great intensity, novelty or attractiveness of something other than…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Distraction topic overview

The analysis highlights Works, In fiction and In medicine as prominent areas in the source structure around Distraction.

Related topics
61
Source areas
11
Connected nodes
72
Extracted relationships
68
Related term clusters
16
Bridge connections
72

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.

In fiction · 12 topics
In medicine · 10 topics
By media · 9 topics
In warfare · 9 topics
In stage magic · 6 topics
In religion · 5 topics
Driving · 4 topics
In crime · 2 topics
In the workplace · 2 topics
In education · 1 topics
Overview · 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.

Start with your topic. Discover where to go next.

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

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.

Overview

Driving

In education

In the workplace

In fiction

In religion

In warfare

In medicine

In crime

In stage magic

By media

For the semantics nerds

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

Advanced semantic analysis

How Distraction connects Entity context

The extracted context around Distraction shows recurring relationship patterns in the source. For example, Distraction → Additional, Ag/AgCl-electrodes, Berlin, Dentists, Department, EasyCap, Finally, Furthermore, Humboldt University, Humboldt-Universität, IO1, IO2, Next, Psychology, Set, T1, Topical Another extracted example is Distraction → Care, Dai Vernon, Magicians, Misdirection, Movement, Sleight, Timing, Two. Use these groups to spot repeated connection types before inspecting the individual relationships.

Distraction

Top relations

related to In medicine · 17
Distraction → Additional, Ag/AgCl-electrodes, Berlin, Dentists, Department, EasyCap, Finally, Furthermore, Humboldt University, Humboldt-Universität, IO1, IO2, Next, Psychology, Set, T1, Topical
related to In stage magic · 8
Distraction → Care, Dai Vernon, Magicians, Misdirection, Movement, Sleight, Timing, Two
related to In warfare · 8
Distraction → According, Flares, Greeks, The Greeks, Trojan Horse, Trojan War, Trojans, Troy
related to In education · 6
Distraction → Digital, Large, Many, Parents, Research, School-aged
related to In fiction · 6
Distraction → Examples, In Hamlet, Ophelia's, Shakespeare, Shakespeare's, Shakespearean
related to In religion · 5
Distraction → According, Damon Young, Rabbi Alan Lew, This Is Real, You Are Completely Unprepared
related to By media · 3
Distraction → Oftentimes, Propagandizing, Studies
related to Driving · 3
Distraction → Cell, Distracted, Many
related to In crime · 3
Distraction → Armed, Columbine, Con
related to In the workplace · 3
Distraction → According, Gloria Mark, Multitasking

Important terminology

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

Important terminology

attention often away unpleasant driving external subjects focus distractions media used multitasking distracted studies use attend distract pictures hand sleight

Distraction relationships Subject–Predicate–Object triples

TTTA extracted 68 structured relationships around Distraction. Examples in this analysis include Distraction → is a → process of diverting the attention of an individual or group from a desired area of focus and thereby blocking or diminishing the reception of desired information and visual triggers → instance of → External distractions include factors. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Distractionis aprocess of diverting the attention of an individual or group from a desired area of focus and thereby blocking or diminishing the reception of desired information0.90text
visual triggersinstance ofExternal distractions include factors0.80text
social interactionsinstance ofExternal distractions include factors0.80text
musicinstance ofExternal distractions include factors0.80text
text messagesinstance ofExternal distractions include factors0.80text
phone callsinstance ofExternal distractions include factors0.80text
Distractionrelated to By mediaPropagandizing0.60section
Distractionrelated to By mediaOftentimes0.60section
Distractionrelated to By mediaStudies0.60section
Distractionrelated to DrivingDistracted0.60section
Distractionrelated to DrivingMany0.60section
Distractionrelated to DrivingCell0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Distraction bring nearby vocabulary together. In this analysis, examples include Used, Create and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Distraction
    • Used
    • Create
    • Also
    • Multitasking
    • Use
    • Media
    • Often
    • Experiment
    • Full
    • Attend
    • Distract
    • Distracted
  • distraction
    • Used
    • Create
    • Also
    • Multitasking
    • Use
    • Media
    • Often
    • Experiment
    • Full
    • Attend
    • Distract
    • Distracted
  • attention
    • Away
    • Distraction
    • Full
    • Distract
    • Subjects
    • Unpleasant
    • Often
    • Order
    • Phone
    • Presented
    • Road
    • Set
  • attention theft
    • Away
    • Distraction
    • Full
    • Distract
    • Subjects
    • Unpleasant
    • Often
    • Order
    • Phone
    • Presented
    • Road
    • Set
  • distracted driving
    • Road
    • Distracted
    • Driving
    • Phone
    • Media
    • Away
    • Often
    • Create
    • External
    • Studies
    • Used
    • Distraction
  • media multitasking
    • Studies
    • Show
    • Audience
    • Presented
    • Road
    • Use
    • Also
    • Multitasking
    • Used
  • drunk driving
    • Road
    • Distracted
    • Phone
    • Media
    • Away
    • Often
    • External
    • Studies
  • audience
    • Presented
    • Time
    • Hand
    • Sleight
    • Media
    • Used
    • Away
    • Often

Connections between topic areas Semantic bridges

For Distraction, one of the stronger structural bridges in this analysis connects Distraction with In fiction. 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
Distraction — In fiction · splits 60 ⟂ 13
Distraction — In medicine · splits 62 ⟂ 11
Distraction — In warfare · splits 63 ⟂ 10
Distraction — By media · splits 63 ⟂ 10
Distraction — In stage magic · splits 66 ⟂ 7
Distraction — In religion · splits 67 ⟂ 6
Distraction — Driving · splits 68 ⟂ 5
Distraction — In the workplace · splits 70 ⟂ 3
Distraction — In crime · splits 70 ⟂ 3

Map overview Semantic statistics

Distraction

Nodes73
Edges72
Triples68
Avg. degree1.97
Density0.027397
Components1

Source & methodology

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

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.

Monitor your Domain Rating with FrogDR