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Matt Bennett: Career & Standards

Matthew H. Bennett (born November 13, 1991) is an American actor and DJ. He is known for playing Robbie Shapiro in the Nickelodeon sitcom Victorious. His film roles include The Virginity Hit, Bridesmaids, Me and Earl and the Dying Girl, The Stanford Prison Experiment and Manson Family Vacation. He has guest-starred on shows such as The Big Bang Theory…

Language: English [EN]
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Matt Bennett topic overview

The analysis highlights Career and Standards as prominent areas in the source structure around Matt Bennett.

Related topics
39
Source areas
2
Connected nodes
41
Extracted relationships
10
Concept neighborhoods
15
Bridge connections
41

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 · 27 topics
Overview · 12 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.

Born
(1991-11-13) November 13, 1991 (age 34) Massapequa Park, New York, U.S.
Occupations
Actor · DJ
Years active
2009–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 Matt Bennett connects Entity context

The extracted context around Matt Bennett shows recurring relationship patterns in the source. For example, Matt Bennett → Actor, DJ Another extracted example is Matt Bennett → (1991-11-13) November 13, 1991 (age 34) Massapequa Park, New York, U.S.. Use these groups to spot repeated connection types before inspecting the individual relationships.

Matt Bennett

Top relations

Occupations · 2
Matt Bennett → Actor, DJ
Born · 1
Matt Bennett → (1991-11-13) November 13, 1991 (age 34) Massapequa Park, New York, U.S.
Years active · 1
Matt Bennett → 2009–present
related to External links · 1
Matt Bennett → IMDbMatt Bennett

Important terminology

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

Important terminology

bennett nickelodeon film dj victorious series born show guest-starred 2022 several american music sitcom dynasty disney actor also episode released

Matt Bennett relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Matt Bennett. Examples in this analysis include Matt Bennett → Born → (1991-11-13) November 13, 1991 (age 34) Massapequa Park, New York, U.S. and Matt Bennett → Occupations → Actor. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Matt BennettBorn(1991-11-13) November 13, 1991 (age 34) Massapequa Park, New York, U.S.1.00infobox
Matt BennettOccupationsActor1.00infobox
Matt BennettOccupationsDJ1.00infobox
Matt BennettYears active2009–present1.00infobox
The Big Bang Theoryinstance ofHe has guest-starred on shows0.80text
American Vandalinstance ofHe has guest-starred on shows0.80text
Dynastyinstance ofHe has guest-starred on shows0.80text
the UKinstance ofreaching locations0.80text
Australiainstance ofreaching locations0.80text
Matt Bennettrelated to External linksIMDbMatt Bennett0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Matt Bennett bring nearby vocabulary together. In this analysis, examples include Show, Dj and Series. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Matt Bennett
    • Show
    • Dj
    • Series
    • Film
    • Victorious
    • Actor
    • Born
    • November
    • Music
    • Several
    • Nickelodeon
    • American
  • matt bennett
    • Show
    • Dj
    • Series
    • Film
    • Victorious
    • Actor
    • Born
    • November
    • Music
    • Several
    • Nickelodeon
    • American
  • the virginity hit
    • Hit
    • Virginity
    • Dying
    • Earl
    • Experiment
    • Family
    • Film
    • Girl
    • Manson
    • Prison
    • Roles
    • Stanford
  • me and earl and the dying girl
    • Dying
    • Earl
    • Experiment
    • Family
    • Girl
    • Manson
    • Prison
    • Roles
    • Stanford
    • Vacation
    • Hit
    • Virginity
  • victorious
    • Robbie
    • Shapiro
    • Sitcom
    • Show
    • Nickelodeon
    • Bennett
    • November
    • Playing
    • Also
    • Music
    • Several
    • Series
  • the stanford prison experiment
    • Family
    • Girl
    • Manson
    • Prison
    • Roles
    • Stanford
    • Vacation
    • Hit
    • Virginity
    • Released
    • Film
  • manson family vacation
    • Girl
    • Manson
    • Prison
    • Roles
    • Stanford
    • Vacation
    • Hit
    • Virginity
    • Released
    • Film
  • nickelodeon
    • Disney
    • Playing
    • Robbie
    • Shapiro
    • Sitcom
    • Several
    • Victorious
    • Series
    • Film

Connections between topic areas Semantic bridges

For Matt Bennett, one of the stronger structural bridges in this analysis connects Matt Bennett 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
Matt Bennett — Life and career · splits 14 ⟂ 28
Matt Bennett — Overview · splits 29 ⟂ 13

Map overview Semantic statistics

Matt Bennett

Nodes42
Edges41
Triples10
Avg. degree1.95
Density0.047619
Components1

Source & methodology

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

Source: Wikipedia — Matt Bennett · EN edition · Analysis: TopicsToTalkAbout

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