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Drop7

Drop7 is a puzzle game developed by Area/Code Entertainment, for Android and iOS.

[EN, English, English]

Reception & Overview

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Research this topic

Explore the main themes, entities and connections around Drop7. 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.

Reception

2 related topics

Overview

3 related topics

Key facts & relationships

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

Genre
Puzzle
Publisher
Zynga
Artists
Frank Lantz, Mark Heggen
Composer
Steve Horelick
Designers
Frank Lantz, Kevin Cancienne
Developer
Area/Code Entertainment (later as Zynga New York)

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

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

Overview

Reception

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

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Drop7

Nodes8
Edges7
Triples17
Avg. degree1.75
Density0.25
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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

Drop7

Top relations

related to Reception · 4
Drop7 → Games, IGN, In January, The Top
Artists · 1
Drop7 → Frank Lantz, Mark Heggen
Composer · 1
Drop7 → Steve Horelick
Designers · 1
Drop7 → Frank Lantz, Kevin Cancienne
Developer · 1
Drop7 → Area/Code Entertainment (later as Zynga New York)
Director · 1
Drop7 → Frank Lantz
Genre · 1
Drop7 → Puzzle
Mode · 1
Drop7 → Single-player
Platforms · 1
Drop7 → iOS, Android
Producers · 1
Drop7 → Demetri Detsaridis, Jacky Tran

Important terminology Word statistics

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.

Important terminology

discs game disc android ios grid blank puzzle mode area code entertainment player top number games ign edge round row

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
Drop7ArtistsFrank Lantz, Mark Heggen1.00infobox
Drop7ComposerSteve Horelick1.00infobox
Drop7DesignersFrank Lantz, Kevin Cancienne1.00infobox
Drop7DeveloperArea/Code Entertainment (later as Zynga New York)1.00infobox
Drop7DirectorFrank Lantz1.00infobox
Drop7GenrePuzzle1.00infobox
Drop7ModeSingle-player1.00infobox
Drop7PlatformsiOS, Android1.00infobox
Drop7ProducersDemetri Detsaridis, Jacky Tran1.00infobox
Drop7ProgrammersKevin Cancienne, Carter Page, Christian Croft, Michael Foster1.00infobox
Drop7PublisherZynga1.00infobox
Drop7Release20091.00infobox
Drop7is apuzzle game developed by Area/Code Entertainment0.90text

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

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

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

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

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