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Slayers: Postavy, Overview & Rasy

Slayers (japonsky スレイヤーズ, Sureijázu) je japonská akční komediální série light novel napsaných Hadžime Kanzakou, vyprávějící o dobrodružství mladé čarodějky Liny Inverse a jejího partnera Gourryho Gabrieva. Na původní sérii light novel později navázalo několik dalších manga titulů, televizních anime sérií, OVA o kreslených filmů nebo her pro herní konzoli…

Language: Czech [CS]
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Slayers topic overview

The analysis highlights Postavy, Overview and Rasy as prominent areas in the source structure around Slayers.

Related topics
39
Source areas
4
Connected nodes
46
Extracted relationships
37
Concept neighborhoods
11
Bridge connections
46

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.

Postavy · 21 topics
Overview · 14 topics
Rasy · 3 topics
Božstva a démoni (mazoku) · 1 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.

Autor
Hadžime Kanzaka
Cílová skupina
šónen
Ilustrátor
Rui Araizumi
Nakladatel
Fudžimi Šobó
Námět
Hadžime Kanzaka
Počet dílů
26

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

Postavy

Božstva a démoni (mazoku)

Rasy

Externí odkazy

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 Slayers connects Entity context

The extracted context around Slayers shows recurring relationship patterns in the source. For example, Slayers → Anime News Network, AnimeNFO, Archivováno, Obrázky, OVA, Wayback Machine, Wikimedia CommonsFoxaxe Another extracted example is Slayers → Byla, D20, Podle Slayers, Slayers Hyper, Slayers Royal, Slayers Wonderful. Use these groups to spot repeated connection types before inspecting the individual relationships.

Slayers

Top relations

related to Externí odkazy · 7
Slayers → Anime News Network, AnimeNFO, Archivováno, Obrázky, OVA, Wayback Machine, Wikimedia CommonsFoxaxe
related to Hry · 6
Slayers → Byla, D20, Podle Slayers, Slayers Hyper, Slayers Royal, Slayers Wonderful
related to Seriály · 4
Slayers → Slayers Evolution-R, Slayers Next, Slayers Revolution, Slayers Try
related to Filmy · 2
Slayers → GorgeousSlayers Premium, Slayers PerfectSlayers ReturnSlayers GreatSlayers
related to Speciály · 2
Slayers → OVA Slayers Excellent, OVA Slayers Special
Autor · 1
Slayers → Hadžime Kanzaka
Cílová skupina · 1
Slayers → šónen
Ilustrátor · 1
Slayers → Rui Araizumi
Nakladatel · 1
Slayers → Fudžimi Šobó
Námět · 1
Slayers → Hadžime Kanzaka

Important terminology

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

Important terminology

to mazoku jako jsou anime krále démonů draci jeho light novel král dračí obludy gaav ova manga xellos shabranigdo lina

Slayers relationships Subject–Predicate–Object triples

TTTA extracted 37 structured relationships around Slayers. Examples in this analysis include Slayers → Autor → Hadžime Kanzaka and Slayers → Cílová skupina → šónen. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SlayersAutorHadžime Kanzaka1.00infobox
SlayersCílová skupinašónen1.00infobox
SlayersIlustrátorRui Araizumi1.00infobox
SlayersNakladatelFudžimi Šobó1.00infobox
SlayersNámětHadžime Kanzaka1.00infobox
SlayersPočet dílů261.00infobox
SlayersPočet svazků151.00infobox
SlayersProdukční studioE.G. Films J.C.Staff1.00infobox
SlayersRežieTakaši Watanabe1.00infobox
SlayersScénářTakao Kojama1.00infobox
SlayersTV staniceTV Tokyo1.00infobox
SlayersV časopiseDragon Magazine1.00infobox
SlayersVydáváno19890101a 1989 – 20000101a 20001.00infobox
SlayersVysíláno7. dubna 1995 – 29. září 19951.00infobox
SlayersZahraniční staniceAnimax, AXN Sci-Fi1.00infobox
SlayersŽánryfantasy, akce, dobrodružný1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Slayers bring nearby vocabulary together. In this analysis, examples include Xellos, Novel and Anime. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • mazoku
    • Obludy
    • Jsou
    • Jako
    • To
    • Dolphin
    • Dynast
    • Grausherra
    • Kouzla
    • Kouzlo
    • Lidí
    • Magie
    • Novel
  • božstva a démoni (mazoku)
    • Obludy
    • Jsou
    • Jako
    • To
    • Dolphin
    • Dynast
    • Grausherra
    • Kouzla
    • Kouzlo
    • Lidí
    • Magie
    • Novel
  • anime
    • Light
    • Novel
    • Slayers
    • Ova
    • Manga
    • Později
    • Lidé
    • Lina
    • Xellos
    • Dračí
    • Král
    • Draci
  • anime news network
    • Light
    • Novel
    • Slayers
    • Ova
    • Manga
    • Později
    • Lidé
    • Lina
    • Xellos
    • Dračí
    • Král
    • Draci
  • light novel
    • Novel
    • Anime
    • Ova
    • Slayers
    • Manga
    • Později
    • Lidé
    • Xellos
    • Dračí
    • Král
    • Draci
    • Mazoku
  • xellos metallium
    • Ovšem
    • To
    • Manga
    • Ova
    • Light
    • Novel
    • Anime
    • Lina
    • Slayers
  • lina inverse
    • Ovšem
    • To
    • Později
    • Kouzlo
    • Xellos
    • Dračí
    • Slayers
    • Jako
  • manga
    • Ova
    • Novel
    • Později
    • Xellos
    • Slayers

Connections between topic areas Semantic bridges

For Slayers, one of the stronger structural bridges in this analysis connects Slayers with Postavy. 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
SlayersPostavy · splits 25 ⟂ 22
SlayersOverview · splits 32 ⟂ 15
SlayersRasy · splits 43 ⟂ 4
SlayersExterní odkazy · splits 44 ⟂ 3

Map overview Semantic statistics

Slayers

Nodes47
Edges46
Triples37
Avg. degree1.96
Density0.042553
Components1

Source & methodology

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

Source: Wikipedia — Slayers · CS edition · Analysis: TopicsToTalkAbout

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