Research any topic before you write.

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

In-Group: Literary Connections, Works & Science

"In-Group" is a science fiction short story by L. Sprague de Camp. It was first published in the magazine Marvel Science Fiction for May, 1952. and later reprinted in the magazine Skyworlds for February 1978. It first appeared in book form in the collection A Gun for Dinosaur and Other Imaginative Tales (Doubleday, 1963). The story has been translated…

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%

In-Group topic overview

The analysis highlights Literary Connections, Works and Science as prominent areas in the source structure around In-Group.

Related topics
21
Source areas
3
Connected nodes
24
Extracted relationships
7
Concept neighborhoods
14
Bridge connections
24

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.

Relation to other works · 10 topics
Overview · 9 topics
Reception · 2 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.

Genre
Science fiction
Publication date
May 1952
Publisher
Stadium Publishing Corporation
Country
United States
Language
English
Media type
Print (Magazine)

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

Reception

Relation to other works

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.

How In-Group connects Entity context

The extracted context around In-Group shows recurring relationship patterns in the source. For example, In-Group → United States Another extracted example is In-Group → Science fiction. Use these groups to spot repeated connection types before inspecting the individual relationships.

In-Group

Top relations

Country · 1
In-Group → United States
Genre · 1
In-Group → Science fiction
Language · 1
In-Group → English
Media type · 1
In-Group → Print (Magazine)
Publication date · 1
In-Group → May 1952
Published in · 1
In-Group → Marvel Science Fiction
Publisher · 1
In-Group → Stadium Publishing Corporation

Important terminology

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

Important terminology

story science de short camp fiction magazine moyang bertin gun dinosaur sprague may 1952 tales first plot published marvel zhovacim

In-Group relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around In-Group. Examples in this analysis include In-Group → Country → United States and In-Group → Genre → Science fiction. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
In-GroupCountryUnited States1.00infobox
In-GroupGenreScience fiction1.00infobox
In-GroupLanguageEnglish1.00infobox
In-GroupMedia typePrint (Magazine)1.00infobox
In-GroupPublication dateMay 19521.00infobox
In-GroupPublished inMarvel Science Fiction1.00infobox
In-GroupPublisherStadium Publishing Corporation1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around In-Group bring nearby vocabulary together. In this analysis, examples include Short, Notes and Story. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • science fiction
    • Magazine
    • Marvel
    • Published
    • May
    • Science
    • Story
    • Skyworlds
    • Short
    • Archaeologist
    • Bertin
    • De
    • First
  • l. sprague de camp
    • Camp
    • De
    • Sprague
    • Commenting
    • Future
    • Stories
    • Story
    • Dinosaur
    • Gun
    • May
    • Short
    • Archaeologist
  • marvel science fiction
    • Published
    • Magazine
    • Marvel
    • May
    • Science
    • Skyworlds
    • Story
    • Archaeologist
    • Hunters
    • Treasure
    • Short
    • Bertin
  • short story
    • Story
    • Notes
    • Plot
    • De
    • Great
    • Living
    • Commenting
    • Future
    • Imaginative
    • Stories
    • Tales
    • Time
  • a gun for dinosaur and other imaginative tales
    • Gun
    • Tales
    • Commenting
    • Future
    • Imaginative
    • Stories
    • Great
    • Living
    • Doubleday
    • Notes
    • Time
    • First
  • a gun for dinosaur
    • Gun
    • Commenting
    • Future
    • Imaginative
    • Stories
    • Tales
    • Doubleday
    • Great
    • Living
    • First
    • Notes
    • Time
  • the great fetish
    • Living
    • Imaginative
    • Notes
    • Stories
    • Tales
    • Time
    • Gun
    • May
    • Plot
    • Short
    • Science
    • Story
  • living fossil
    • Notes
    • Stories
    • Tales
    • Time
    • May
    • Plot
    • Short
    • Science
    • Story

Connections between topic areas Semantic bridges

For In-Group, one of the stronger structural bridges in this analysis connects In-Group with Relation to other works. 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
In-GroupRelation to other works · splits 14 ⟂ 11
In-GroupOverview · splits 15 ⟂ 10
In-GroupReception · splits 22 ⟂ 3

Map overview Semantic statistics

In-Group

Nodes25
Edges24
Triples7
Avg. degree1.92
Density0.08
Components1

Source & methodology

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

Source: Wikipedia — In-Group · EN edition · Analysis: TopicsToTalkAbout

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