Research any topic before you write.

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

Tom Hopper: Career, Early life & Overview

Thomas Edward Hopper (born 28 January 1985) is an English actor known for his roles as Percival in Merlin (2010–12), Billy Bones in Black Sails (2014–17), Dickon Tarly in Game of Thrones (2017), and Luther Hargreeves in The Umbrella Academy (2019–24).

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%

Tom Hopper topic overview

The analysis highlights Career, Early life and Overview as prominent areas in the source structure around Tom Hopper.

Related topics
37
Source areas
3
Connected nodes
40
Extracted relationships
7
Concept neighborhoods
12
Bridge connections
40

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.

Career · 26 topics
Overview · 6 topics
Early life · 5 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
Actor
Born
Thomas Edward Hopper (1985-01-28) 28 January 1985 (age 41) Coalville, Leicestershire, England
Children
2
Years active
2007–present

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

Early life

Career

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 Tom Hopper connects Entity context

The extracted context around Tom Hopper shows recurring relationship patterns in the source. For example, Tom Hopper → IMDb Tom Hopper, Instagram Another extracted example is Tom Hopper → Thomas Edward Hopper (1985-01-28) 28 January 1985 (age 41) Coalville, Leicestershire, England. Use these groups to spot repeated connection types before inspecting the individual relationships.

Tom Hopper

Top relations

related to External links · 2
Tom Hopper → IMDb Tom Hopper, Instagram
Born · 1
Tom Hopper → Thomas Edward Hopper (1985-01-28) 28 January 1985 (age 41) Coalville, Leicestershire, England
Children · 1
Tom Hopper → 2
Occupation · 1
Tom Hopper → Actor
Spouse · 1
Tom Hopper → .mw-parser-output .marriage-line-margin2px{line-height:0;margin-bottom:-2px}.mw-parser-output .marriage-line-margin3px{line-height:0;margin-bottom:-3px}.mw-parser-output .marria…
Years active · 1
Tom Hopper → 2007–present

Important terminology

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

Important terminology

hopper appeared film merlin 2014 born actor series starred 2010 bones black sails 2019 percival coalville leicestershire first cast released

Tom Hopper relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around Tom Hopper. Examples in this analysis include Tom Hopper → Born → Thomas Edward Hopper (1985-01-28) 28 January 1985 (age 41) Coalville, Leicestershire, England and Tom Hopper → Children → 2. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Tom HopperBornThomas Edward Hopper (1985-01-28) 28 January 1985 (age 41) Coalville, Leicestershire, England1.00infobox
Tom HopperChildren21.00infobox
Tom HopperOccupationActor1.00infobox
Tom HopperSpouse.mw-parser-output .marriage-line-margin2px{line-height:0;margin-bottom:-2px}.mw-parser-output .marriage-line-margin3px{line-height:0;margin-bottom:-3px}.mw-parser-output .marria…1.00infobox
Tom HopperYears active2007–present1.00infobox
Tom Hopperrelated to External linksIMDb Tom Hopper0.60section
Tom Hopperrelated to External linksInstagram0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Tom Hopper bring nearby vocabulary together. In this analysis, examples include Appeared, Film and Actor. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Tom Hopper
    • Appeared
    • Film
    • Actor
    • Black
    • Bones
    • Born
    • Sails
    • Merlin
    • Starred
    • Academy
    • Billy
    • Coalville
  • tom hopper
    • Appeared
    • Film
    • Actor
    • Black
    • Bones
    • Born
    • Sails
    • Merlin
    • Starred
    • Academy
    • Billy
    • Coalville
  • the umbrella academy
    • Academy
    • Hargreeves
    • Luther
    • Umbrella
    • Billy
    • Dickon
    • Edward
    • Game
    • January
    • Percival
    • Tarly
    • Thomas
  • billy bones
    • Black
    • Sails
    • Bones
    • Academy
    • Dickon
    • Edward
    • Game
    • Hargreeves
    • January
    • Luther
    • Percival
    • Tarly
  • black sails
    • Bones
    • Sails
    • Academy
    • Dickon
    • Edward
    • Game
    • Hargreeves
    • January
    • Luther
    • Percival
    • Tarly
    • Thomas
  • dickon tarly
    • Game
    • Tarly
    • Thrones
    • Academy
    • Edward
    • Hargreeves
    • January
    • Luther
    • Percival
    • Thomas
    • Umbrella
    • Cast
  • game of thrones
    • Tarly
    • Thrones
    • Academy
    • Hargreeves
    • January
    • Luther
    • Percival
    • Thomas
    • Umbrella
    • Cast
    • Joined
    • Role
  • merlin
    • Percival
    • Academy
    • Billy
    • Dickon
    • Game
    • Hargreeves
    • Luther
    • Tarly
    • Thomas
    • Thrones
    • Umbrella
    • Black

Connections between topic areas Semantic bridges

For Tom Hopper, one of the stronger structural bridges in this analysis connects Tom Hopper with Career. 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
Tom HopperCareer · splits 14 ⟂ 27
Tom HopperOverview · splits 34 ⟂ 7
Tom HopperEarly life · splits 35 ⟂ 6

Map overview Semantic statistics

Tom Hopper

Nodes41
Edges40
Triples7
Avg. degree1.95
Density0.04878
Components1

Source & methodology

TTTA analyzes the structure around Tom Hopper to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Early life & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Tom Hopper · EN edition · Analysis: TopicsToTalkAbout

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