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Mark Lynas: Overview, Related Topics & Entities

Mark Lynas (* 1973 Fidži) je britský ekologický aktivista a publicista, absolvent politologie na Edinburské univerzitě. Píše pro tiskoviny jako New Statesman, Ecologist, Granta, Geographical, The Guardian nebo The Observer. Napsal knihy High Tide: The Truth About Our Climate Crisis (2004) a Six Degrees: Our Future on a Hotter Planet (2007), jejíž…

Language: Czech [CS]
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Mark Lynas topic overview

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

Related topics
18
Source areas
1
Connected nodes
19
Extracted relationships
7
Concept neighborhoods
14
Bridge connections
19

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 · 18 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.

Alma mater
Edinburská univerzita
Narození
1973 (52–53 let) Fidži
Občanství
Spojené království
Povolání
novinář, spisovatel, ekolog, ochránce životního prostředí a spisovatel literatury faktu
Web
www.marklynas.org

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

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 Mark Lynas connects Entity context

The extracted context around Mark Lynas shows recurring relationship patterns in the source. For example, Mark Lynas → Obrázky, Wikimedia CommonsOficiální Another extracted example is Mark Lynas → Edinburská univerzita. Use these groups to spot repeated connection types before inspecting the individual relationships.

Mark Lynas

Top relations

related to Externí odkazy · 2
Mark Lynas → Obrázky, Wikimedia CommonsOficiální
Alma mater · 1
Mark Lynas → Edinburská univerzita
Narození · 1
Mark Lynas → 1973 (52–53 let) Fidži
Občanství · 1
Mark Lynas → Spojené království
Povolání · 1
Mark Lynas → novinář, spisovatel, ekolog, ochránce životního prostředí a spisovatel literatury faktu
Web · 1
Mark Lynas → www.marklynas.org

Important terminology

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

Important terminology

the 1973 fidži commons jako of 2009 oteplování globálnímu mark lynas datové položky wikimedia politologie ecologist granta geographical technokratický britský

Mark Lynas relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around Mark Lynas. Examples in this analysis include Mark Lynas → Alma mater → Edinburská univerzita and Mark Lynas → Narození → 1973 (52–53 let) Fidži. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Mark LynasAlma materEdinburská univerzita1.00infobox
Mark LynasNarození1973 (52–53 let) Fidži1.00infobox
Mark LynasObčanstvíSpojené království1.00infobox
Mark LynasPovolánínovinář, spisovatel, ekolog, ochránce životního prostředí a spisovatel literatury faktu1.00infobox
Mark LynasWebwww.marklynas.org1.00infobox
Mark Lynasrelated to Externí odkazyObrázky0.60section
Mark Lynasrelated to Externí odkazyWikimedia CommonsOficiální0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Mark Lynas bring nearby vocabulary together. In this analysis, examples include Mark, Absolvent and Aktivista. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • the guardian
    • New
    • Observer
    • Píše
    • Statesman
    • Tiskoviny
    • Of
    • Jako
    • About
    • Climate
    • High
    • Knihy
    • Napsal
  • fidži
    • Absolvent
    • Aktivista
    • Britský
    • Datové
    • Edinburské
    • Ekologický
    • Politologie
    • Položky
    • Publicista
    • Univerzitě
    • Commons
    • Lynas
  • the observer
    • Píše
    • Statesman
    • Tiskoviny
    • Of
    • About
    • Climate
    • High
    • Knihy
    • Napsal
    • Our
    • The
    • Tide
  • Mark Lynas
    • Mark
    • Absolvent
    • Aktivista
    • Britský
    • Edinburské
    • Ekologický
    • Politologie
    • Publicista
    • Univerzitě
    • Commons
    • Fidži
    • Wikimedia
  • mark lynas
    • Mark
    • Absolvent
    • Aktivista
    • Britský
    • Edinburské
    • Ekologický
    • Politologie
    • Publicista
    • Univerzitě
    • Commons
    • Fidži
    • Wikimedia
  • ekologický aktivista
    • Absolvent
    • Aktivista
    • Britský
    • Edinburské
    • Ekologický
    • Politologie
    • Publicista
    • Univerzitě
    • Fidži
    • Lynas
    • Mark
  • edinburské univerzitě
    • Absolvent
    • Aktivista
    • Britský
    • Edinburské
    • Ekologický
    • Politologie
    • Publicista
    • Univerzitě
    • Fidži
    • Lynas
    • Mark
  • ecologist
    • Geographical
    • Granta
    • Guardian
    • New
    • Observer
    • Píše
    • Statesman
    • Tiskoviny
    • Jako
    • The

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

Mark Lynas

Nodes20
Edges19
Triples7
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around Mark Lynas 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 — Mark Lynas · CS edition · Analysis: TopicsToTalkAbout

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