Blue Collar (film)

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Blue Collar (film) topic overview

The analysis highlights Companies, Plot and Cast as prominent areas in the source structure around Blue Collar (film).

Related topics: 67
Source areas: 5
Connected nodes: 72
Extracted relationships: 18
Related term clusters: 27
Bridge connections: 72

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.

Plot · 27 topics

Overview · 14 topics

Cast · 10 topics

Reception · 10 topics

Production · 6 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.

Box office: $6.5 million
Budget: $1.7 million
Cinematography: Bobby Byrne
Country: United States
Directed by: Paul Schrader
Distributed by: Universal Pictures

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Blue Collar (film)

10Crime drama · Paul Schrader · Leonard Schrader

9Wayne County, Michigan · Detroit, Michigan · Mississippi

10United Auto Workers · Ledger · Usury

6Taxi Driver · Mental breakdown · Detroit

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

Cast

Production

Reception

For the semantics nerds

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

Advanced semantic analysis

How Blue Collar (film) connects Entity context

The extracted context around Blue Collar (film) shows recurring relationship patterns in the source. For example, Blue Collar (film) → Harvey Keitel, Richard Pryor, Yaphet Kotto Another extracted example is Blue Collar (film) → Leonard Schrader, Paul Schrader. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

Starring · 3

Blue Collar (film) → Harvey Keitel, Richard Pryor, Yaphet Kotto

Written by · 2

Blue Collar (film) → Leonard Schrader, Paul Schrader

Box office · 1

Blue Collar (film) → $6.5 million

Budget · 1

Blue Collar (film) → $1.7 million

Cinematography · 1

Blue Collar (film) → Bobby Byrne

Country · 1

Blue Collar (film) → United States

Directed by · 1

Blue Collar (film) → Paul Schrader

Distributed by · 1

Blue Collar (film) → Universal Pictures

Edited by · 1

Blue Collar (film) → Tom Rolf

Language · 1

Blue Collar (film) → English

Important terminology

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

Important terminology

film union schrader jerry keitel pryor zeke blue collar kotto also smokey one richard harvey yaphet detroit get work stars

Blue Collar (film) relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Blue Collar (film). Examples in this analysis include Blue Collar (film) → Box office → $6.5 million and Blue Collar (film) → Budget → $1.7 million. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Blue Collar (film)	Box office	$6.5 million	1.00	infobox
Blue Collar (film)	Budget	$1.7 million	1.00	infobox
Blue Collar (film)	Cinematography	Bobby Byrne	1.00	infobox
Blue Collar (film)	Country	United States	1.00	infobox
Blue Collar (film)	Directed by	Paul Schrader	1.00	infobox
Blue Collar (film)	Distributed by	Universal Pictures	1.00	infobox
Blue Collar (film)	Edited by	Tom Rolf	1.00	infobox
Blue Collar (film)	Language	English	1.00	infobox
Blue Collar (film)	Music by	Jack Nitzsche	1.00	infobox
Blue Collar (film)	Produced by	Don Guest	1.00	infobox
Blue Collar (film)	Production company	T.A.T. Communications Company	1.00	infobox
Blue Collar (film)	Release date	February 10, 1978 (1978-02-10) (United States)	1.00	infobox
Blue Collar (film)	Running time	114 minutes	1.00	infobox
Blue Collar (film)	Starring	Richard Pryor	1.00	infobox
Blue Collar (film)	Starring	Harvey Keitel	1.00	infobox
Blue Collar (film)	Starring	Yaphet Kotto	1.00	infobox
Blue Collar (film)	Written by	Paul Schrader	1.00	infobox
Blue Collar (film)	Written by	Leonard Schrader	1.00	infobox

Related concept clusters Related term clusters

The concept neighborhoods around Blue Collar (film) bring nearby vocabulary together. In this analysis, examples include Collar, Paul and Directed. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Blue Collar (film)
- Collar
- Paul
- Directed
- Film
- Schrader
- Production
- Michigan
- Stars
- Detroit
- Written
- Company
- Crime
blue collar (film)
- Collar
- Paul
- Directed
- Film
- Pryor
- Schrader
- Production
- Michigan
- Stars
- Detroit
- Written
- Company
harvey keitel
- Leonard
- Kotto
- Richard
- Yaphet
- Pryor
- Written
- Keitel
- Schrader
- Also
- Production
- Bartowski
- Brown
leonard schrader
- Harvey
- Richard
- Yaphet
- Written
- Kotto
- Pryor
- Keitel
- Production
- Also
- Bartowski
- Brown
- Leonard
richard pryor
- Harvey
- Yaphet
- Kotto
- Keitel
- Pryor
- Richard
- Written
- Schrader
- Production
- Stars
- Bartowski
- Brown
yaphet kotto
- Yaphet
- Pryor
- Leonard
- Richard
- Written
- Stars
- Schrader
- Also
- Production
- Bartowski
- Brown
- Company
paul schrader
- Harvey
- Production
- Richard
- Keitel
- Also
- Kotto
- Written
- Pryor
- Leonard
- Schrader
- Stars
- Company
detroit
- Michigan
- Two
- Bartowski
- Brown
- Time
- Company
- Including
- States
- United
- Workers
- Jerry
- Film

Connections between topic areas Semantic bridges

For Blue Collar (film), one of the stronger structural bridges in this analysis connects Blue Collar (film) with Plot. 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

Blue Collar (film) — Plot · splits 45 ⟂ 28

Blue Collar (film) — Overview · splits 58 ⟂ 15

Blue Collar (film) — Cast · splits 62 ⟂ 11

Blue Collar (film) — Reception · splits 62 ⟂ 11

Blue Collar (film) — Production · splits 66 ⟂ 7

Map overview Semantic statistics

Blue Collar (film)

Nodes73

Edges72

Triples18

Avg. degree1.97

Density0.027397

Components1

Source & methodology

TTTA analyzes the structure around Blue Collar (film) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Plot & Cast, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Blue Collar (film) · EN edition · Analysis: TopicsToTalkAbout

Blue Collar (film): Companies, Plot & Cast

Blue Collar (film) topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Plot

Cast

Production

Reception

For the semantics nerds

Advanced semantic analysis

How Blue Collar (film) connects Entity context

Blue Collar (film)

Top relations

Important terminology

Important terminology

Blue Collar (film) relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Blue Collar (film)

Source & methodology