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Discord: Historie, Kritika & Overview
Discord je komunikační platforma pro komunity nabízející služby instant messaging, VoIP, videohovory, psaní zpráv a sdílení digitálních médií. Uživatelé si mohou zakládat vlastní otevřené či uzavřené chat roomy (tzv. „servery“). Discord nabízí podporu botů pro hudbu, správu práv a jiných záležitostí. Discord lze používat na systémech Windows, MacOS…
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Discord topic overview
The analysis highlights Historie, Kritika and Overview as prominent areas in the source structure around Discord.
Related topics
71
Source areas
4
Connected nodes
75
Extracted relationships
100
Concept neighborhoods
15
Bridge connections
75
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 · 28 topics
Kritika · 27 topics
Overview · 13 topics
Servery · 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.
Aktuální verze
270.0 (10. března 2025)
Licence
proprietární licence
Lokalizace
27
Operační systém
Windows, macOS, Linux, Android, iOS
Platforma
macOS Linux iOS Android webový prohlížeč Microsoft Windows Xbox PlayStation
První vydání
6. března 2015
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 Discord 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 Discord shows recurring relationship patterns in the source. For example, Discord → Benchmark, Chisel, Discordu, Fates Forever, Final Fantasy XIV, Firstmark, GREE, Hammer, Index Ventures, IP, IRC, IVP, Jason Citron, Jasona Citrona, Jejich, Koncept Discordu, League, Legends, Microsoft, MOBA Another extracted example is Discord → Cílem, Discordem, Discordu, Dokumenty, Jima Ryana, Microsoft, Minecraft, Místo, Na, PlayStation Network, SIE, Sony, Spojených, Spojenými, Téhož, Začátkem. Use these groups to spot repeated connection types before inspecting the individual relationships.
Discord
Top relations
related to Vznik a uvedení· 34
Discord → Benchmark, Chisel, Discordu, Fates Forever, Final Fantasy XIV, Firstmark, GREE, Hammer, Index Ventures, IP, IRC, IVP, Jason Citron, Jasona Citrona, Jejich, Koncept Discordu, League, Legends, Microsoft, MOBA
related to Rozšíření využití (od roku 2020)· 16
Discord → Cílem, Discordem, Discordu, Dokumenty, Jima Ryana, Microsoft, Minecraft, Místo, Na, PlayStation Network, SIE, Sony, Spojených, Spojenými, Téhož, Začátkem
related to Nenávistný a extremistický obsah· 11
Discord → Buffalu, Charlieho Kirka, Charlottesville, Discordu, Kapitol USA, Obdobné, Po, Přesto, Přestože, Right, Unite
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 100 structured relationships around Discord. Examples in this analysis include Discord → Aktuální verze → 270.0 (10. března 2025) and Discord → Licence → proprietární licence. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Discord
Aktuální verze
270.0 (10. března 2025)
1.00
infobox
Discord
Licence
proprietární licence
1.00
infobox
Discord
Lokalizace
27
1.00
infobox
Discord
Operační systém
Windows, macOS, Linux, Android, iOS
1.00
infobox
Discord
Platforma
macOS Linux iOS Android webový prohlížeč Microsoft Windows Xbox PlayStation
1.00
infobox
Discord
První vydání
6. března 2015
1.00
infobox
Discord
Typ softwaru
VoIP komunikace, Chatování, Videokomunikace, Sociální média
1.00
infobox
Discord
Vyvíjeno v
JavaScript, Rust, React, Elixir
1.00
infobox
Discord
Vývojář
Discord Inc. (Původně Hammer And Chisel)
1.00
infobox
Discord
Web
discord.com
1.00
infobox
Discord
related to Externí odkazy
Obrázky
0.60
section
Discord
related to Externí odkazy
Wikimedia CommonsOficiální
0.60
section
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 Discord bring nearby vocabulary together. In this analysis, examples include Společnosti, Roku and Dat. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Discord
Společnosti
Roku
Dat
Platforma
Údajů
Servery
Android
Ios
Linux
Macos
Voip
Windows
discord
Společnosti
Roku
Dat
Platforma
Údajů
Servery
Android
Ios
Linux
Macos
Voip
Windows
obecného nařízení evropské unie o ochraně osobních údajů
Osobních
Údajů
Března
Jako
Voip
Windows
Android
Chisel
Dat
Hammer
Ios
Linux
osobních údajů
Osobních
Údajů
Března
Jako
Voip
Windows
Android
Chisel
Dat
Hammer
Ios
Linux
servery
Tzv
Uživatelé
Roce
Uživatele
Šíření
Března
Discordu
Android
Ios
Linux
Macos
Voip
úniku dat
Března
Ios
Linux
Macos
Voip
Windows
Chisel
Hammer
Microsoft
Osobních
Platformu
První
android
Ios
Linux
Macos
Windows
Března
Voip
Chisel
Dat
Hammer
Microsoft
Osobních
Platformu
voip
Března
Android
Ios
Linux
Macos
Windows
Chisel
Dat
Hammer
Microsoft
Osobních
Platformu
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 Discord, one of the stronger structural bridges in this analysis connects Discord 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Discord
Nodes76
Edges75
Triples100
Avg. degree1.97
Density0.026316
Components1
Source & methodology
TTTA analyzes the structure around Discord to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Kritika & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
