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Subspace Explorers is a science fiction novel by American writer E. E. "Doc" Smith. It was first published in 1965 by Canaveral Press in an edition of 1,460 copies. The novel is an expansion of Smith's story "Subspace Survivors" which first appeared in the July 1960 issue of the magazine Astounding.
The analysis highlights Literary Connections and Science as prominent areas in the source structure around Subspace Explorers.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Subspace Explorers shows recurring relationship patterns in the source. For example, Subspace Explorers → Canada, Faded Page, Internet Speculative Fiction Database Another extracted example is Subspace Explorers → Edward E. Smith. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
subspace smith fiction first novel principle explorers science press canaveral edition profit doc edward roy krenkel enlightened self-interest see publication
TTTA extracted 16 structured relationships around Subspace Explorers. Examples in this analysis include Subspace Explorers → Author → Edward E. Smith and Subspace Explorers → Followed by → Subspace Encounter. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Subspace Explorers | Author | Edward E. Smith | 1.00 | infobox |
| Subspace Explorers | Followed by | Subspace Encounter | 1.00 | infobox |
| Subspace Explorers | Genre | Science fiction | 1.00 | infobox |
| Subspace Explorers | Illustrator | Roy G. Krenkel (frontispiece) | 1.00 | infobox |
| Subspace Explorers | Language | English | 1.00 | infobox |
| Subspace Explorers | Media type | Print (hardback) | 1.00 | infobox |
| Subspace Explorers | OCLC | 1234616 | 1.00 | infobox |
| Subspace Explorers | Pages | 278 | 1.00 | infobox |
| Subspace Explorers | Publication date | 1965 | 1.00 | infobox |
| Subspace Explorers | Publication place | United States | 1.00 | infobox |
| Subspace Explorers | Publisher | Canaveral Press | 1.00 | infobox |
| Subspace Explorers | Series | Subspace | 1.00 | infobox |
| Subspace Explorers | is a | science fiction novel by American writer E | 0.90 | text |
The concept neighborhoods around Subspace Explorers bring nearby vocabulary together. In this analysis, examples include Subspace, Fiction and Edition. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Subspace Explorers, one of the stronger structural bridges in this analysis connects Subspace Explorers with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Subspace Explorers to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Literary Connections & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Subspace Explorers · EN edition · Analysis: TopicsToTalkAbout