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Spectral: Art & Science

Spectral is a 2016 military science fiction action film co-written and directed by Nic Mathieu. Written with Ian Fried and George Nolfi, the film stars James Badge Dale as DARPA research scientist Mark Clyne, with Max Martini, Emily Mortimer, Clayne Crawford, and Bruce Greenwood in supporting roles.

Language: English [EN]
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Spectral topic overview

The analysis highlights Art and Science as prominent areas in the source structure around Spectral.

Related topics
60
Source areas
5
Connected nodes
65
Extracted relationships
106
Concept neighborhoods
20
Bridge connections
65

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 · 21 topics
Overview · 14 topics
Production · 13 topics
Cast · 10 topics
Release · 2 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.

Budget
$70 million (estimated)
Cinematography
Bojan Bazelli
Countries
United States · Hungary
Directed by
Nic Mathieu
Distributed by
Netflix
Edited by
Jason Ballantine

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

Plot

Cast

Production

Release

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 Spectral connects Entity context

The extracted context around Spectral shows recurring relationship patterns in the source. For example, Spectral → American, Aratare, Bogdan, Chen, Chișinău, Chris Davis, CIA Case Officer Fran, Clyne, Clyne's, Comstock, DARPA, Delta Force, Durlești, General James Orland's, However, Madison, Major Sessions, Mark Clyne, Moldovan, Orland Another extracted example is Spectral → Black Hawk Down, Bruce Greenwood, Described, During, Emily Mortimer, European, Fried, Fried's, George Nolfi, Ian Fried, James Badge Dale, Jamie Moss, John Gatins, Legendary Pictures, Mathieu, Max Martini, Nic Mathieu, Universal Pictures. Use these groups to spot repeated connection types before inspecting the individual relationships.

Spectral

Top relations

related to Plot · 26
Spectral → American, Aratare, Bogdan, Chen, Chișinău, Chris Davis, CIA Case Officer Fran, Clyne, Clyne's, Comstock, DARPA, Delta Force, Durlești, General James Orland's, However, Madison, Major Sessions, Mark Clyne, Moldovan, Orland
related to Production · 18
Spectral → Black Hawk Down, Bruce Greenwood, Described, During, Emily Mortimer, European, Fried, Fried's, George Nolfi, Ian Fried, James Badge Dale, Jamie Moss, John Gatins, Legendary Pictures, Mathieu, Max Martini, Nic Mathieu, Universal Pictures
related to Further reading · 12
Spectral → Accessed June, An, Ars Technica, Bose, Einstein, Is, July, Nic Mathieu, Plus, Spectral's, The, Thilo Stöferle
related to Release · 10
Spectral → August, ComiXology, December, Ghosts, In June, Initially, Netflix, On February, Universal Pictures, War
related to Critical reception · 7
Spectral → But Spectral, It’s, Netflix, Rotten Tomatoes, Tasha Robinson, The Verge, Writing
related to External links · 7
Spectral → Box Office Mojo, Chinese, Douban, IMDb Spectral, MetacriticSpectral, NetflixSpectral, Rotten TomatoesSpectral
Starring · 5
Spectral → Bruce Greenwood, Clayne Crawford, Emily Mortimer, James Badge Dale, Max Martini
Languages · 4
Spectral → English, Romanian, Russian, Slovenian
Countries · 2
Spectral → Hungary, United States
Produced by · 2
Spectral → Jillian Share, Thomas Tull

Important terminology

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

Important terminology

film netflix clyne entities 2016 war military released mathieu james release madison team condensate nic badge dale max martini emily

Spectral relationships Subject–Predicate–Object triples

TTTA extracted 106 structured relationships around Spectral. Examples in this analysis include Spectral → Budget → $70 million (estimated) and Spectral → Cinematography → Bojan Bazelli. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SpectralBudget$70 million (estimated)1.00infobox
SpectralCinematographyBojan Bazelli1.00infobox
SpectralCountriesUnited States1.00infobox
SpectralCountriesHungary1.00infobox
SpectralDirected byNic Mathieu1.00infobox
SpectralDistributed byNetflix1.00infobox
SpectralEdited byJason Ballantine1.00infobox
SpectralLanguagesEnglish1.00infobox
SpectralLanguagesRussian1.00infobox
SpectralLanguagesRomanian1.00infobox
SpectralLanguagesSlovenian1.00infobox
SpectralMusic byJunkie XL1.00infobox
SpectralProduced byThomas Tull1.00infobox
SpectralProduced byJillian Share1.00infobox
SpectralProduction companiesLegendary Pictures Universal Pictures Netflix Mid Atlantic Films1.00infobox
SpectralRelease dateDecember 9, 2016 (2016-12-09) (Worldwide)1.00infobox
SpectralRunning time107 minutes1.00infobox
SpectralScreenplay byGeorge Nolfi1.00infobox
SpectralStarringJames Badge Dale1.00infobox
SpectralStarringMax Martini1.00infobox
SpectralStarringEmily Mortimer1.00infobox
SpectralStarringClayne Crawford1.00infobox
SpectralStarringBruce Greenwood1.00infobox
SpectralStory byIan Fried1.00infobox
SpectralStory byNic Mathieu1.00infobox
Spectralis a2016 military science fiction action film co-written and directed by Nic Mathieu0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Spectral bring nearby vocabulary together. In this analysis, examples include War, Pictures and Universal. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • military science fiction
    • Condensate
    • Nic
    • Mathieu
    • Spectral
    • Scientist
    • Film
    • Clayne
    • Crawford
    • Darpa
    • Fried
    • George
    • Ian
  • action film
    • Spectral
    • Released
    • Netflix
    • Science
    • Badge
    • Bruce
    • Dale
    • Emily
    • Greenwood
    • James
    • Mark
    • Martini
  • ian fried
    • George
    • Ian
    • Nolfi
    • Clayne
    • Crawford
    • Darpa
    • Badge
    • Bruce
    • Dale
    • Emily
    • Greenwood
    • James
  • george nolfi
    • Ian
    • Nolfi
    • Clayne
    • Crawford
    • Darpa
    • Badge
    • Bruce
    • Dale
    • Emily
    • Greenwood
    • James
    • Mark
  • james badge dale
    • Bruce
    • Dale
    • Emily
    • Greenwood
    • James
    • Mark
    • Martini
    • Max
    • Mortimer
    • Clayne
    • Crawford
    • Darpa
  • darpa
    • Clayne
    • Crawford
    • Bruce
    • Emily
    • Greenwood
    • James
    • Mark
    • Martini
    • Max
    • Mortimer
    • Fried
    • George
  • emily mortimer
    • Bruce
    • Greenwood
    • James
    • Mark
    • Martini
    • Max
    • Mortimer
    • Clayne
    • Crawford
    • Fried
    • George
    • Ian
  • clayne crawford
    • Crawford
    • Darpa
    • Bruce
    • Dale
    • Emily
    • Greenwood
    • James
    • Mark
    • Martini
    • Max
    • Mortimer
    • Fried

Connections between topic areas Semantic bridges

For Spectral, one of the stronger structural bridges in this analysis connects Spectral 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
SpectralPlot · splits 44 ⟂ 22
SpectralOverview · splits 51 ⟂ 15
SpectralProduction · splits 52 ⟂ 14
SpectralCast · splits 55 ⟂ 11
SpectralRelease · splits 63 ⟂ 3

Map overview Semantic statistics

Spectral

Nodes66
Edges65
Triples106
Avg. degree1.97
Density0.030303
Components1

Source & methodology

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

Source: Wikipedia — Spectral · EN edition · Analysis: TopicsToTalkAbout

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