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Devon Monk: Works, Literary Connections & Science

Devon Monk (born January 9, 1970) is an American writer of urban fantasy novels. She has also published over 50 short stories in fantasy, science fiction, horror, humor, and young adult magazines and anthologies. Monk currently resides in Oregon with her husband, two sons, and a dog named Mojo.

Language: English [EN]
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Devon Monk topic overview

The analysis highlights Works, Literary Connections and Science as prominent areas in the source structure around Devon Monk.

Related topics
15
Source areas
2
Connected nodes
17
Extracted relationships
14
Related term clusters
13
Bridge connections
17

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.

Overview · 12 topics
Published works · 3 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.

Occupation
Novelist
Born
(1970-01-09) January 9, 1970 (age 56) Eugene, Oregon, U.S.
Genres
Science fiction, Urban fantasy

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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

Published works

For the semantics nerds

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Advanced semantic analysis

How Devon Monk connects Entity context

The extracted context around Devon Monk shows recurring relationship patterns in the source. For example, Devon Monk → American West, Cold Copper, Dead Iron, ISBN, July, Roc Books, Steam, The Age, Tin Swift, West Another extracted example is Devon Monk → (1970-01-09) January 9, 1970 (age 56) Eugene, Oregon, U.S.. Use these groups to spot repeated connection types before inspecting the individual relationships.

Devon Monk

Top relations

related to Age of Steam · 10
Devon Monk → American West, Cold Copper, Dead Iron, ISBN, July, Roc Books, Steam, The Age, Tin Swift, West
Born · 1
Devon Monk → (1970-01-09) January 9, 1970 (age 56) Eugene, Oregon, U.S.
Genres · 1
Devon Monk → Science fiction, Urban fantasy
Occupation · 1
Devon Monk → Novelist
Website · 1
Devon Monk → devonmonk.com

Important terminology

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

Important terminology

fantasy magic monk isbn books published short stories devon urban fiction roc may oregon allie steam house anthologies com born

Devon Monk relationships Subject–Predicate–Object triples

TTTA extracted 14 structured relationships around Devon Monk. Examples in this analysis include Devon Monk → Born → (1970-01-09) January 9, 1970 (age 56) Eugene, Oregon, U.S. and Devon Monk → Genres → Science fiction, Urban fantasy. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Devon MonkBorn(1970-01-09) January 9, 1970 (age 56) Eugene, Oregon, U.S.1.00infobox
Devon MonkGenresScience fiction, Urban fantasy1.00infobox
Devon MonkOccupationNovelist1.00infobox
Devon MonkWebsitedevonmonk.com1.00infobox
Devon Monkrelated to Age of SteamAmerican West0.60section
Devon Monkrelated to Age of SteamWest0.60section
Devon Monkrelated to Age of SteamDead Iron0.60section
Devon Monkrelated to Age of SteamThe Age0.60section
Devon Monkrelated to Age of SteamSteam0.60section
Devon Monkrelated to Age of SteamJuly0.60section
Devon Monkrelated to Age of SteamRoc Books0.60section
Devon Monkrelated to Age of SteamISBN0.60section

Related concept clusters Related term clusters

The concept neighborhoods around Devon Monk bring nearby vocabulary together. In this analysis, examples include Monk, American and Cold. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Devon Monk
    • Monk
    • American
    • Cold
    • Fantasy
    • January
    • June
    • May
    • November
    • Urban
    • Isbn
    • Roc
    • Books
  • devon monk
    • Monk
    • American
    • Cold
    • Fantasy
    • January
    • June
    • May
    • November
    • Two
    • Urban
    • Isbn
    • Roc
  • urban fantasy
    • Fiction
    • Published
    • Short
    • Stories
    • Urban
    • Monk
    • Age
    • Anthologies
    • Beckstrom
    • House
    • Immortal
    • January
  • fantasy
    • Fiction
    • Published
    • Short
    • Stories
    • Urban
    • Monk
    • Age
    • Anthologies
    • Beckstrom
    • House
    • Immortal
    • January
  • science fiction
    • Anthologies
    • Science
    • Short
    • Stories
    • Website
    • Published
    • Age
    • Beckstrom
    • Com
    • Horror
    • House
    • Humor
  • daw books
    • Magic
    • Isbn
    • Roc
    • May
    • November
    • Steam
    • Cold
    • House
    • Immortal
    • Ordinary
    • Published
    • Short
  • roc books
    • Magic
    • Isbn
    • Roc
    • May
    • November
    • Steam
    • Cold
    • House
    • Immortal
    • Ordinary
    • Short
    • Stories
  • published works
    • Short
    • Stories
    • Age
    • Anthologies
    • Beckstrom
    • House
    • Immortal
    • Ordinary
    • Science
    • Allie
    • Fiction
    • November

Connections between topic areas Semantic bridges

For Devon Monk, one of the stronger structural bridges in this analysis connects Devon Monk 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.

Min side: 3
Devon Monk — Overview · splits 5 ⟂ 13
Devon Monk — Published works · splits 14 ⟂ 4

Map overview Semantic statistics

Devon Monk

Nodes18
Edges17
Triples14
Avg. degree1.89
Density0.111111
Components1

Source & methodology

TTTA analyzes the structure around Devon Monk to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, 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 — Devon Monk · EN edition · Analysis: TopicsToTalkAbout

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