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Worm (web serial): Themes, Literary Connections & Measurement

Worm is a self-published web serial by John C. "Wildbow" McCrae and the first installment of the Parahumans series, known for subverting and playing with common tropes and themes of superhero fiction. It was McCrae's first novel. Worm features a bullied teenage girl, Taylor Hebert, who develops the superpower to control worms, insects, arachnids, and…

Language: English [EN]
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Worm (web serial) topic overview

The analysis highlights Themes, Literary Connections and Measurement as prominent areas in the source structure around Worm (web serial).

Related topics
41
Source areas
6
Connected nodes
47
Extracted relationships
11
Concept neighborhoods
11
Bridge connections
47

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.

Reception · 15 topics
Synopsis · 10 topics
Overview · 9 topics
Backstory · 3 topics
Themes · 3 topics
Publication · 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.

Key facts & relationships

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

Author
John "Wildbow" McCrae
Genre
Superhero fiction science fiction web serial
Publication date
2011–2013
Language
English
Media type
Digital
Pages
7,000 (1,680,000 words)

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

Publication

Backstory

Synopsis

Themes

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.

How Worm (web serial) connects Entity context

The extracted context around Worm (web serial) shows recurring relationship patterns in the source. For example, Worm (web serial) → John "Wildbow" McCrae Another extracted example is Worm (web serial) → Superhero fiction science fiction web serial. Use these groups to spot repeated connection types before inspecting the individual relationships.

Worm (web serial)

Top relations

Author · 1
Worm (web serial) → John "Wildbow" McCrae
Genre · 1
Worm (web serial) → Superhero fiction science fiction web serial
Language · 1
Worm (web serial) → English
Media type · 1
Worm (web serial) → Digital
Pages · 1
Worm (web serial) → 7,000 (1,680,000 words)
Publication date · 1
Worm (web serial) → 2011–2013
Text · 1
Worm (web serial) → Worm at WordPress
Website · 1
Worm (web serial) → https://parahumans.wordpress.com/

Important terminology

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

Important terminology

taylor worm story undersiders powers parahumans superhero serial parahuman power well heroes city known mccrae later one prt protectorate web

Worm (web serial) relationships Subject–Predicate–Object triples

TTTA extracted 11 structured relationships around Worm (web serial). Examples in this analysis include Worm (web serial) → Author → John "Wildbow" McCrae and Worm (web serial) → Genre → Superhero fiction science fiction web serial. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Worm (web serial)AuthorJohn "Wildbow" McCrae1.00infobox
Worm (web serial)GenreSuperhero fiction science fiction web serial1.00infobox
Worm (web serial)LanguageEnglish1.00infobox
Worm (web serial)Media typeDigital1.00infobox
Worm (web serial)Pages7,000 (1,680,000 words)1.00infobox
Worm (web serial)Publication date2011–20131.00infobox
Worm (web serial)TextWorm at WordPress1.00infobox
Worm (web serial)Websitehttps://parahumans.wordpress.com/1.00infobox
Charles Dickensinstance ofand compared to the work of authors0.80text
Mark Twaininstance ofand compared to the work of authors0.80text
who also wrote in the serial formatinstance ofand compared to the work of authors0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Worm (web serial) bring nearby vocabulary together. In this analysis, examples include Serial, Web and Fiction. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Worm (web serial)
    • Serial
    • Web
    • Fiction
    • First
    • Themes
    • Worm
    • Mccrae
    • Superhero
    • Parahumans
    • Published
    • Sequel
    • Parahuman
  • worm (web serial)
    • Serial
    • Web
    • Fiction
    • First
    • Themes
    • Worm
    • Several
    • Mccrae
    • Superhero
    • Parahumans
    • Sequel
    • Work
  • superhero fiction
    • Fiction
    • Superhero
    • First
    • Published
    • Sequel
    • Serial
    • Themes
    • Web
    • Mccrae
    • Worm
    • Bay
    • Brockton
  • web serial
    • Serial
    • Web
    • Fiction
    • First
    • Themes
    • Worm
    • Several
    • Mccrae
    • Superhero
    • Parahumans
    • Sequel
    • Work
  • superhero
    • Fiction
    • Themes
    • Web
    • Bay
    • Brockton
    • City
    • Story
    • Worm
    • Published
    • Sequel
    • Trigger
    • World
  • fictional city
    • Bay
    • Brockton
    • Parahumans
    • Undersiders
    • Superhero
    • Coil
    • Control
    • World
    • Dinah's
    • Endbringers
    • Powerful
    • Taylor
  • science fiction
    • Superhero
    • First
    • Published
    • Sequel
    • Serial
    • Themes
    • Web
    • Mccrae
    • Worm
    • Work
    • Several
    • Known
  • fan fiction
    • Superhero
    • First
    • Published
    • Sequel
    • Serial
    • Themes
    • Web
    • Mccrae
    • Worm
    • Work
    • Several
    • Known

Connections between topic areas Semantic bridges

For Worm (web serial), one of the stronger structural bridges in this analysis connects Worm (web serial) with Reception. 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
Worm (web serial) — Reception · splits 32 ⟂ 16
Worm (web serial) — Synopsis · splits 37 ⟂ 11
Worm (web serial) — Overview · splits 38 ⟂ 10
Worm (web serial) — Backstory · splits 44 ⟂ 4
Worm (web serial) — Themes · splits 44 ⟂ 4

Map overview Semantic statistics

Worm (web serial)

Nodes48
Edges47
Triples11
Avg. degree1.96
Density0.041667
Components1

Source & methodology

TTTA analyzes the structure around Worm (web serial) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Themes, Literary Connections & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Worm (web serial) · EN edition · Analysis: TopicsToTalkAbout

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