Research any topic before you write.

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

Trick Weekes: Career & Science

Trick Weekes (also Patrick Weekes) is an American author. They were a writer at BioWare from 2005 to 2025 for the Mass Effect and Dragon Age video game franchises, becoming lead writer for Dragon Age in 2015.

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%

Trick Weekes topic overview

The analysis highlights Career and Science as prominent areas in the source structure around Trick Weekes.

Related topics
25
Source areas
3
Connected nodes
43
Extracted relationships
5
Related term clusters
25
Bridge connections
43

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 · 15 topics
Overview · 5 topics
Personal 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
Writer
Education
Stanford University (BA, MA)
Language
English
Spouse
Karin Weekes
Subjects
Science fiction Fantasy

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

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

Career

Personal life

Bibliography

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Trick Weekes connects Entity context

The extracted context around Trick Weekes shows recurring relationship patterns in the source. For example, Trick Weekes → Stanford University (BA, MA) Another extracted example is Trick Weekes → English. Use these groups to spot repeated connection types before inspecting the individual relationships.

Trick Weekes

Top relations

Education · 1
Trick Weekes → Stanford University (BA, MA)
Language · 1
Trick Weekes → English
Occupation · 1
Trick Weekes → Writer
Spouse · 1
Trick Weekes → Karin Weekes
Subjects · 1
Trick Weekes → Science fiction Fantasy

Important terminology

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

Important terminology

weekes dragon age writer mass effect lead bioware wrote also 2015 stories fiction career trick 2005 2025 video game franchises

Trick Weekes relationships Subject–Predicate–Object triples

TTTA extracted 5 structured relationships around Trick Weekes. Examples in this analysis include Trick Weekes → Education → Stanford University (BA, MA) and Trick Weekes → Language → English. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Trick WeekesEducationStanford University (BA, MA)1.00infobox
Trick WeekesLanguageEnglish1.00infobox
Trick WeekesOccupationWriter1.00infobox
Trick WeekesSpouseKarin Weekes1.00infobox
Trick WeekesSubjectsScience fiction Fantasy1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Trick Weekes bring nearby vocabulary together. In this analysis, examples include Bluesky, Personal and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • bioware
    • Franchises
    • Game
    • Video
    • Effect
    • Mass
    • Career
    • Writer
    • Writing
    • Age
    • Ba
    • Bluesky
    • Dragon
  • mass effect
    • Effect
    • Mass
    • Fantasy
    • Franchises
    • Game
    • Life
    • Science
    • Video
    • Writer
    • Fiction
    • Stories
    • Age
  • dragon age
    • Age
    • Dragon
    • Writer
    • Lead
    • Stories
    • Effect
    • Mass
    • Wrote
    • Anthology
    • Edited
    • Empire
    • Fantasy
  • dragon age: the masked empire
    • Age
    • Anthology
    • Dragon
    • Edited
    • Empire
    • Masked
    • Writer
    • Stories
    • Lead
    • Effect
    • Mass
    • Wrote
  • dragon age: tevinter nights
    • Age
    • Dragon
    • Writer
    • Lead
    • Stories
    • Effect
    • Mass
    • Wrote
    • Anthology
    • Edited
    • Empire
    • Fantasy
  • mass effect 3
    • Effect
    • Mass
    • Fantasy
    • Franchises
    • Game
    • Life
    • Science
    • Video
    • Writer
    • Fiction
    • Stories
    • Age
  • dragon age: inquisition
    • Age
    • Dragon
    • Writer
    • Lead
    • Stories
    • Effect
    • Mass
    • Wrote
    • Anthology
    • Edited
    • Empire
    • Life
  • dragon age: the veilguard
    • Age
    • Dragon
    • Writer
    • Lead
    • Stories
    • Effect
    • Mass
    • Wrote
    • Anthology
    • Edited
    • Empire
    • Fantasy

Connections between topic areas Semantic bridges

For Trick Weekes, one of the stronger structural bridges in this analysis connects Trick Weekes 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
Trick Weekes — Career · splits 28 ⟂ 16
Trick Weekes — Bibliography · splits 29 ⟂ 15
Trick Weekes — Overview · splits 38 ⟂ 6
Trick Weekes — Personal life · splits 38 ⟂ 6

Map overview Semantic statistics

Trick Weekes

Nodes44
Edges43
Triples5
Avg. degree1.95
Density0.045455
Components1

Source & methodology

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

Source: Wikipedia — Trick Weekes · EN edition · Analysis: TopicsToTalkAbout

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

Monitor your Domain Rating with FrogDR