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Jon Shafer: Works, Career & Cultures

Jon Shafer is an American designer and programmer of video games. He was the lead designer of the strategy game Civilization V, developed by Firaxis.

Language: English [EN]
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Jon Shafer topic overview

The analysis highlights Works, Career and Cultures as prominent areas in the source structure around Jon Shafer.

Related topics
30
Source areas
2
Connected nodes
32
Extracted relationships
6
Concept neighborhoods
20
Bridge connections
32

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.

Life and career · 20 topics
Overview · 10 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.

Known for
Civilization V, At the Gates
Alma mater
Towson University
Born
(1985-03-30) March 30, 1985 (age 41) Aurora, Colorado, United States
Occupations
Game designer, game programmer, producer, entrepreneur
Years active
2005–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

Life and 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 Jon Shafer connects Entity context

The extracted context around Jon Shafer shows recurring relationship patterns in the source. For example, Jon Shafer → Towson University Another extracted example is Jon Shafer → (1985-03-30) March 30, 1985 (age 41) Aurora, Colorado, United States. Use these groups to spot repeated connection types before inspecting the individual relationships.

Jon Shafer

Top relations

Alma mater · 1
Jon Shafer → Towson University
Born · 1
Jon Shafer → (1985-03-30) March 30, 1985 (age 41) Aurora, Colorado, United States
Known for · 1
Jon Shafer → Civilization V, At the Gates
Occupations · 1
Jon Shafer → Game designer, game programmer, producer, entrepreneur
Years active · 1
Jon Shafer → 2005–present
is a · 1
Jon Shafer → American designer and programmer of video games

Important terminology

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

Important terminology

shafer civilization game designer gates games programmer development colorado firaxis lead title february video strategy university 2005 jon 2012 4x

Jon Shafer relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around Jon Shafer. Examples in this analysis include Jon Shafer → Alma mater → Towson University and Jon Shafer → Born → (1985-03-30) March 30, 1985 (age 41) Aurora, Colorado, United States. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Jon ShaferAlma materTowson University1.00infobox
Jon ShaferBorn(1985-03-30) March 30, 1985 (age 41) Aurora, Colorado, United States1.00infobox
Jon ShaferKnown forCivilization V, At the Gates1.00infobox
Jon ShaferOccupationsGame designer, game programmer, producer, entrepreneur1.00infobox
Jon ShaferYears active2005–present1.00infobox
Jon Shaferis aAmerican designer and programmer of video games0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Jon Shafer bring nearby vocabulary together. In this analysis, examples include Aurora, Born and Programmer. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Jon Shafer
    • Aurora
    • Born
    • Programmer
    • Designer
    • Towson
    • Video
    • Years
    • Series
    • Development
    • Colorado
    • University
    • Beyond
  • jon shafer
    • Aurora
    • Born
    • Programmer
    • Designer
    • Game
    • Towson
    • Video
    • Years
    • Series
    • Civilization
    • Development
    • Colorado
  • lead designer
    • Programmer
    • Series
    • Civilization
    • Beyond
    • Jon
    • Sword
    • Shafer
    • Lead
    • Game
    • Developed
    • Stardock
    • Strategy
  • civilization v
    • Designer
    • Programmer
    • Shafer
    • Game
    • Beyond
    • Developed
    • Iv
    • Led
    • Strategy
    • Sword
    • Firaxis
    • Lead
  • video game development
    • Games
    • Development
    • Game
    • Conifer
    • Founded
    • Jon
    • Shafer
    • Strategy
    • Lead
    • Civilization
    • Gates
    • Led
  • civilization
    • Designer
    • Programmer
    • Shafer
    • Game
    • Beyond
    • Developed
    • Iv
    • Led
    • Strategy
    • Sword
    • Firaxis
    • Lead
  • civilization iii
    • Designer
    • Programmer
    • Shafer
    • Game
    • Beyond
    • Developed
    • Iv
    • Led
    • Strategy
    • Sword
    • Firaxis
    • Lead
  • civilization iv
    • Designer
    • Beyond
    • Later
    • Programmer
    • Sword
    • Shafer
    • Game
    • Developed
    • Iv
    • Led
    • Strategy
    • Firaxis

Connections between topic areas Semantic bridges

For Jon Shafer, one of the stronger structural bridges in this analysis connects Jon Shafer with Life and 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
Jon ShaferLife and career · splits 12 ⟂ 21
Jon ShaferOverview · splits 22 ⟂ 11

Map overview Semantic statistics

Jon Shafer

Nodes33
Edges32
Triples6
Avg. degree1.94
Density0.060606
Components1

Source & methodology

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

Source: Wikipedia — Jon Shafer · EN edition · Analysis: TopicsToTalkAbout

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