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Mark Twain: Život, Dílo & Odkazy
Mark Twain, vlastním jménem Samuel Langhorne Clemens, (30. listopadu 1835, Florida, Missouri, USA – 21. dubna 1910 Redding, Connecticut) byl americký novinář, spisovatel a humorista, představitel amerického realismu. Proslavil se zejména svými humornými příběhy, které se vyznačují místním koloritem a přesným pozorováním společenského chování, a také…
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Mark Twain topic overview
The analysis highlights Život, Dílo and Odkazy as prominent areas in the source structure around Mark Twain.
Related topics
125
Source areas
5
Connected nodes
130
Extracted relationships
147
Concept neighborhoods
22
Bridge connections
130
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.
Život · 64 topics
Dílo · 36 topics
Overview · 15 topics
Odkazy · 6 topics
Pseudonym · 4 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
Cascadilla School
Choť
Olivia Langdon Clemens (1870–1904)
Děti
Susy Clemens Clara Clemens Jean Clemens
Místo pohřbení
Woodlawn Cemetery
Narození
30. listopadu 1835 Florida
Ocenění
member of the Nevada Writers Hall of Fame (1998) member of the Nevada Newspaper Hall of Fame honorary doctor of Yale University
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Mark Twain connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Mark Twain shows recurring relationship patterns in the source. For example, Mark Twain → Adventures, Albertem Painem, Americký, Arc, Artuše, Autobiography, Bank Note, Bequest, Brothers, Calaveras, Christian Science, Connecticut Yankee, Connecticutu, Conversation, Crime, Croker, Detective, Dobrodružství Huckleberryho Finna, Dobrodružství Toma Sawyera, Dog's Tale Another extracted example is Mark Twain → American Author, Digitalizovaná, Dostupné, Gutenberg, Hartfordu, Hejda, HumoristTWAIN, Mark, Mark TwainPlné, Marka Twaina, Obrázky, Praha, Překlad Pavla Moudrá, Seznam, Souborném, Tom Sawyer, Tuček, Twain, Wikicitátech Autor Mark Twain, Wikimedia Commons Osoba Mark. Use these groups to spot repeated connection types before inspecting the individual relationships.
Mark Twain
Top relations
related to Dílo· 85
Mark Twain → Adventures, Albertem Painem, Americký, Arc, Artuše, Autobiography, Bank Note, Bequest, Brothers, Calaveras, Christian Science, Connecticut Yankee, Connecticutu, Conversation, Crime, Croker, Detective, Dobrodružství Huckleberryho Finna, Dobrodružství Toma Sawyera, Dog's Tale
related to Externí odkazy· 22
Mark Twain → American Author, Digitalizovaná, Dostupné, Gutenberg, Hartfordu, Hejda, HumoristTWAIN, Mark, Mark TwainPlné, Marka Twaina, Obrázky, Praha, Překlad Pavla Moudrá, Seznam, Souborném, Tom Sawyer, Tuček, Twain, Wikicitátech Autor Mark Twain, Wikimedia Commons Osoba Mark
related to Pseudonym· 13
Mark Twain → Byly, Divokém, Josef Pospíšil, Kapitán Sellers, Když, Ke, Mississippi, New Orleans Picayune, Podle, Pseudonym Mark Twain, Sellerse, Sám Twain, Tento
related to Zájem o vědu a techniku· 9
Mark Twain → Artuše, Connecticutu, Nikolou Teslou, Reddingu, Své, Sám, Thomas Edison, Twaina, Yankee
related to Reference· 2
Mark Twain → Wikipedii, Wikipediia Mark Twain
Alma mater· 1
Mark Twain → Cascadilla School
Choť· 1
Mark Twain → Olivia Langdon Clemens (1870–1904)
Děti· 1
Mark Twain → Susy Clemens Clara Clemens Jean Clemens
Místo pohřbení· 1
Mark Twain → Woodlawn Cemetery
Narození· 1
Mark Twain → 30. listopadu 1835 Florida
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Mark Twain relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 147 structured relationships around Mark Twain. Examples in this analysis include Mark Twain → Alma mater → Cascadilla School and Mark Twain → Choť → Olivia Langdon Clemens (1870–1904). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Mark Twain
Alma mater
Cascadilla School
1.00
infobox
Mark Twain
Choť
Olivia Langdon Clemens (1870–1904)
1.00
infobox
Mark Twain
Děti
Susy Clemens Clara Clemens Jean Clemens
1.00
infobox
Mark Twain
Místo pohřbení
Woodlawn Cemetery
1.00
infobox
Mark Twain
Narození
30. listopadu 1835 Florida
1.00
infobox
Mark Twain
Ocenění
member of the Nevada Writers Hall of Fame (1998) member of the Nevada Newspaper Hall of Fame honorary doctor of Yale University
1.00
infobox
Mark Twain
Povolání
novinář, romanopisec, autor autobiografie, učitel, humorista, autor dětské literatury, autor cestopisů, aforista, autor sci-fi a spisovatel
1.00
infobox
Mark Twain
Pseudonym
Mark Twain
1.00
infobox
Mark Twain
Příbuzní
Orion Clemens a Pamela Ann Clemens (sourozenci)
1.00
infobox
Mark Twain
Příčina úmrtí
infarkt myokardu
1.00
infobox
Mark Twain
Rodiče
John Marshall Clemens a Jane Lampton Clemens
1.00
infobox
Mark Twain
Rodné jméno
Samuel Langhorne Clemens
1.00
infobox
Mark Twain
Stát
Spojené státy americké
1.00
infobox
Mark Twain
Významná díla
Dobrodružství Huckleberryho Finna Dobrodružství Toma Sawyera
1.00
infobox
Mark Twain
Úmrtí
21. dubna 1910 (ve věku 74 let) Redding
1.00
infobox
Mark Twain
Žánr
historická fikce
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Mark Twain bring nearby vocabulary together. In this analysis, examples include Pseudonym, Twain and Clemens. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Mark Twain
Pseudonym
Twain
Clemens
Novinář
Dubna
Listopadu
Spisovatel
Finna
Huckleberryho
Samuel
Dobrodružství
Sawyera
mark twain
Pseudonym
Roce
Twain
Clemens
Novinář
Dubna
Listopadu
Spisovatel
Finna
Huckleberryho
Samuel
Dobrodružství
dobrodružství toma sawyera
Sawyera
Toma
Finna
Huckleberryho
Život
Mississippi
Novinář
Connecticutu
The
Mu
Jako
Dubna
dobrodružství huckleberryho finna
Finna
Huckleberryho
Sawyera
Toma
Život
Mississippi
Novinář
Connecticutu
The
Mu
Listopadu
Pseudonym
život na mississippi
Finna
Huckleberryho
Dobrodružství
Sawyera
Toma
Mississippi
Život
Clemens
Novinář
Connecticutu
The
Mu
mark twain's autobiography
Pseudonym
Twain
Clemens
Novinář
Dubna
Listopadu
Spisovatel
Finna
Huckleberryho
Samuel
Dobrodružství
Sawyera
život
Finna
Huckleberryho
Dobrodružství
Sawyera
Toma
Mississippi
Clemens
Novinář
Connecticutu
The
Dubna
Listopadu
calaveras
The
Novinář
Mu
Listopadu
Finna
Huckleberryho
Clemens
Dobrodružství
Napsal
Sawyera
Toma
Život
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Mark Twain, one of the stronger structural bridges in this analysis connects Mark Twain with Život. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Mark Twain
Nodes131
Edges130
Triples147
Avg. degree1.98
Density0.015267
Components1
Source & methodology
TTTA analyzes the structure around Mark Twain to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, Dílo & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
