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John Patitucci: Overview, Related Topics & Entities

John Patitucci (* 22. prosince 1959 Brooklyn) je americký jazzový kontrabasista, baskytarista a hudební skladatel. Ve svých deseti letech začal hrát na baskytaru a od patnácti pak přidal i kontrabas; basu rovněž vystudoval na San Francisco State University a California State University, Long Beach. Vydal řadu vlastních alb a hrál na albech jiných…

Language: Czech [CS]
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John Patitucci topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around John Patitucci.

Related topics
12
Source areas
1
Connected nodes
13
Extracted relationships
6
Related term clusters
10
Bridge connections
13

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.

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.

Narození
22. prosince 1959 (66 let) New York City, New York, USA
Nástroje
kontrabas, baskytara
Povolání
hudebník, hudební skladatel
Příbuzná témata
Chick Corea
Web
www.johnpatitucci.com
Žánry
jazz, jazz fusion

Tematické okruhy

Prozkoumejte skupiny témat propojených ve zdrojovém textu. Vyberte si libovolné téma; okruhy nemají určené pořadí.

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

For the semantics nerds

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

Advanced semantic analysis

How John Patitucci connects Entity context

The extracted context around John Patitucci shows recurring relationship patterns in the source. For example, John Patitucci → 22. prosince 1959 (66 let) New York City, New York, USA Another extracted example is John Patitucci → kontrabas, baskytara. Use these groups to spot repeated connection types before inspecting the individual relationships.

John Patitucci

Top relations

Narození · 1
John Patitucci → 22. prosince 1959 (66 let) New York City, New York, USA
Nástroje · 1
John Patitucci → kontrabas, baskytara
Povolání · 1
John Patitucci → hudebník, hudební skladatel
Příbuzná témata · 1
John Patitucci → Chick Corea
Web · 1
John Patitucci → www.johnpatitucci.com
Žánry · 1
John Patitucci → jazz, jazz fusion

Important terminology

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

Important terminology

john patitucci 22 prosince 1959 commons kontrabas usa hudební skladatel chick corea 2018 new york city datové položky wikimedia brooklyn

John Patitucci relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around John Patitucci. Examples in this analysis include John Patitucci → Narození → 22. prosince 1959 (66 let) New York City, New York, USA and John Patitucci → Nástroje → kontrabas, baskytara. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
John PatitucciNarození22. prosince 1959 (66 let) New York City, New York, USA1.00infobox
John PatitucciNástrojekontrabas, baskytara1.00infobox
John PatitucciPovoláníhudebník, hudební skladatel1.00infobox
John PatitucciPříbuzná témataChick Corea1.00infobox
John PatitucciWebwww.johnpatitucci.com1.00infobox
John PatitucciŽánryjazz, jazz fusion1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around John Patitucci bring nearby vocabulary together. In this analysis, examples include Hudební, Patitucci and Prosince. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • John Patitucci
    • Hudební
    • Patitucci
    • Prosince
    • Skladatel
    • Americký
    • Baskytarista
    • Brooklyn
    • City
    • Commons
    • Datové
    • Jazzový
    • Kontrabasista
  • john patitucci
    • Hudební
    • Patitucci
    • Prosince
    • Skladatel
    • Americký
    • Baskytarista
    • Brooklyn
    • City
    • Commons
    • Datové
    • Jazzový
    • Kontrabasista
  • hudební skladatel
    • John
    • Patitucci
    • Prosince
    • Skladatel
    • City
    • Commons
    • Datové
    • Jazzový
    • Kontrabasista
    • New
    • Položky
    • Usa
  • chick corea
    • Corea
    • City
    • Commons
    • Datové
    • New
    • Položky
    • Usa
    • Wikimedia
    • York
    • Hudební
    • John
    • Kontrabas
  • san francisco state university
    • Francisco
    • Hrát
    • Letech
    • Pak
    • Patnácti
    • Přidal
    • Rovněž
    • San
    • State
    • Svých
    • University
    • Vystudoval
  • 22. prosince
    • Skladatel
    • City
    • Commons
    • Datové
    • New
    • Položky
    • Usa
    • Wikimedia
    • York
    • Chick
    • Corea
    • Kontrabas
  • brooklyn
    • Americký
    • Baskytarista
    • Jazzový
    • Kontrabasista
    • Hudební
    • John
    • Patitucci
    • Prosince
    • Skladatel
  • baskytarista
    • Brooklyn
    • Jazzový
    • Kontrabasista
    • Hudební
    • John
    • Patitucci
    • Prosince
    • Skladatel

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the John Patitucci map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

John Patitucci

Nodes14
Edges13
Triples6
Avg. degree1.86
Density0.142857
Components1

Source & methodology

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

Source: Wikipedia — John Patitucci · CS edition · Analysis: TopicsToTalkAbout

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