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XB-1: Historie & Overview

XB-1 je literární měsíčník, který se věnuje sci-fi, fantasy a hororu.

Language: Czech [CS]
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XB-1 topic overview

The analysis highlights Historie and Overview as prominent areas in the source structure around XB-1.

Related topics
15
Source areas
2
Connected nodes
17
Extracted relationships
36
Related term clusters
11
Bridge connections
17

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.

Historie · 12 topics
Overview · 3 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.

Datum založení
2010
Jazyk
čeština
Náklad
15 000
Periodicita
měsíčník
Počet stran
80
Vydavatel
Časopis XB-1 s.r.o.

Tematické okruhy

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

XB-1
3Science fiction · Fantasy · Horor
6Ikarie · Vlado Ríša · Jaroslav Jiran
6Jaroslav Olša, jr. · Ondřej Neff · Pavel Kosatík

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

Historie

For the semantics nerds

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

Advanced semantic analysis

How XB-1 connects Entity context

The extracted context around XB-1 shows recurring relationship patterns in the source. For example, XB-1 → Alexandre Hlinka, Alexandre Hlinku, Eva Hauserová, Fanzin, Ikarie, Ikarie XB, Ikarie XB-1, Ikarie XB-2, Ivan Adamovič, Jaroslav Jiran, Jaroslav Olša, Konektor XB-1, Martin, Mladá, Ondřej Neff, Pavel Kosatík, Vlado Ríša, Vzhledem, ZO Svazarmu Another extracted example is XB-1 → HitHit, Kampaň, Kč, Tvůrci. Use these groups to spot repeated connection types before inspecting the individual relationships.

XB-1

Top relations

related to Historie · 19
XB-1 → Alexandre Hlinka, Alexandre Hlinku, Eva Hauserová, Fanzin, Ikarie, Ikarie XB, Ikarie XB-1, Ikarie XB-2, Ivan Adamovič, Jaroslav Jiran, Jaroslav Olša, Konektor XB-1, Martin, Mladá, Ondřej Neff, Pavel Kosatík, Vlado Ríša, Vzhledem, ZO Svazarmu
related to Crowdfunding · 4
XB-1 → HitHit, Kampaň, Kč, Tvůrci
related to Současnost · 2
XB-1 → Obsah, SF
Datum založení · 1
XB-1 → 2010
ISSN · 1
XB-1 → 1804-6606
Jazyk · 1
XB-1 → čeština
Náklad · 1
XB-1 → 15 000
Periodicita · 1
XB-1 → měsíčník
Počet stran · 1
XB-1 → 80
Vydavatel · 1
XB-1 → Časopis XB-1 s.r.o.

Important terminology

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

Important terminology

časopis vlado ríša ikarie šéfredaktor časopisu martin šust česko měsíčník sci-fi jaroslav redakci původní redakce zleva editor saša rusevský vydavatel

XB-1 relationships Subject–Predicate–Object triples

TTTA extracted 36 structured relationships around XB-1. Examples in this analysis include XB-1 → Datum založení → 2010 and XB-1 → ISSN → 1804-6606. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
XB-1Datum založení20101.00infobox
XB-1ISSN1804-66061.00infobox
XB-1Jazykčeština1.00infobox
XB-1Náklad15 0001.00infobox
XB-1Periodicitaměsíčník1.00infobox
XB-1Počet stran801.00infobox
XB-1VydavatelČasopis XB-1 s.r.o.1.00infobox
XB-1WebOficiální stránky1.00infobox
XB-1Země původuČesko Česko1.00infobox
XB-1Číslo ČNBcnb0021606411.00infobox
XB-1ŠéfredaktorVlado Ríša1.00infobox
XB-1related to CrowdfundingHitHit0.60section

Related concept clusters Related term clusters

The concept neighborhoods around XB-1 bring nearby vocabulary together. In this analysis, examples include Časopis, Časopisu and Roce. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • ikarie
    • Letech
    • Roce
    • Xb
    • Časopis
    • Martin
    • Původní
    • Redakce
    • Šust
    • Ríša
    • Vlado
    • Časopisu
    • Položky
  • vlado ríša
    • Ríša
    • Vlado
    • Martin
    • Šust
    • Editor
    • Knihy
    • Praha
    • Rusevský
    • Saša
    • Svět
    • Veletrhu
    • Vydavatel
  • martin šust
    • Šust
    • Ríša
    • Vlado
    • Editor
    • Knihy
    • Praha
    • Rusevský
    • Saša
    • Svět
    • Veletrhu
    • Vydavatel
    • Výstaviště
  • ikarie xb 1
    • Letech
    • Roce
    • Xb
    • Časopis
    • Martin
    • Původní
    • Redakce
    • Zleva
    • Česko
    • Šust
    • Šéfredaktor
    • Ríša
  • XB-1
    • Časopis
    • Časopisu
    • Roce
    • Redakce
    • Ikarie
    • Letech
    • Web
    • Xb
    • Zleva
    • Česko
    • Čtyři
    • Šéfredaktor
  • xb-1
    • Časopis
    • Časopisu
    • Roce
    • Redakce
    • Ikarie
    • Letech
    • Web
    • Xb
    • Zleva
    • Česko
    • Čtyři
    • Šéfredaktor
  • jaroslav olša, jr.
    • Olša
    • Redakci
    • Ríša
    • Vlado
    • Letech
    • Martin
    • Redakce
    • Šust
    • Časopisu
  • jaroslav jiran
    • Olša
    • Redakci
    • Ríša
    • Vlado
    • Letech
    • Martin
    • Redakce
    • Šust
    • Časopisu

Connections between topic areas Semantic bridges

For XB-1, one of the stronger structural bridges in this analysis connects XB-1 with Historie. 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
XB-1 — Historie · splits 5 ⟂ 13
XB-1 — Overview · splits 14 ⟂ 4

Map overview Semantic statistics

XB-1

Nodes18
Edges17
Triples36
Avg. degree1.89
Density0.111111
Components1

Source & methodology

TTTA analyzes the structure around XB-1 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — XB-1 · CS edition · Analysis: TopicsToTalkAbout

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