Research any topic before you write.

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

Dance Off

"Dance Off" is a song by American hip hop duo Macklemore & Ryan Lewis featuring British actor and musician Idris Elba and fellow American musician Anderson .Paak, released in the United States, Australia, New Zealand, and selected European countries on February 25, 2016, as the second single from the duo's studio album This Unruly Mess I've Made (2016).

Music, Regions & Measurement

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Dance Off. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Critical reception

Hip hop cultureMTVThrillerMichael Jackson
4 related topics

Background and release

The HeistMacklemoreDowntown
3 related topics

Music video

Ryan LewisYouTube
2 related topics

Chart performance

Australian Singles Chart
1 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Genre
Hip hop · comedy hip hop
Label
Macklemore LLC
Length
3:49
Producer
Ryan Lewis
Released
February 25, 2016
Songwriters
Ben Haggerty · Ryan Lewis · Idris Elba · Joshua Karp · Brandon Anderson

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Background and release

Music video

Critical reception

Chart performance

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Dance Off

Nodes21
Edges20
Triples39
Avg. degree1.9
Density0.095238
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Dance Off

Top relations

related to Critical reception · 13
Dance Off → And, David Turner, DJing, In, Killian Young, Macklemore, Michael Jackson, MTV, Spencer Kornhaber, The, The Atlantic, Thriller, Vincent Price
related to background · 9
Dance Off → Downtown, February, Following, Instagram, January, Macklemore, Made, The Heist, This Unruly Mess I've
Songwriters · 8
Dance Off → Ben Haggerty, Brandon Anderson, Idris Elba, Josh Dobson, Joshua Karp, Ryan Lewis, Sam Wishkoski, Tyler "XP" Andrews
related to Chart performance · 3
Dance Off → Australian Singles Chart, In Australia, March
Genre · 2
Dance Off → comedy hip hop, Hip hop
Label · 1
Dance Off → Macklemore LLC
Length · 1
Dance Off → 3:49
Producer · 1
Dance Off → Ryan Lewis
Released · 1
Dance Off → February 25, 2016

Important terminology Word statistics

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

Important terminology

dance 2016 macklemore song music hip hop ryan lewis released second album idris elba anderson downtown youtube said australia february

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Dance OffGenreHip hop1.00infobox
Dance OffGenrecomedy hip hop1.00infobox
Dance OffLabelMacklemore LLC1.00infobox
Dance OffLength3:491.00infobox
Dance OffProducerRyan Lewis1.00infobox
Dance OffReleasedFebruary 25, 20161.00infobox
Dance OffSongwritersBen Haggerty1.00infobox
Dance OffSongwritersRyan Lewis1.00infobox
Dance OffSongwritersIdris Elba1.00infobox
Dance OffSongwritersJoshua Karp1.00infobox
Dance OffSongwritersBrandon Anderson1.00infobox
Dance OffSongwritersJosh Dobson1.00infobox
Dance OffSongwritersSam Wishkoski1.00infobox
Dance OffSongwritersTyler "XP" Andrews1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.