Research any topic before you write.

Find related topics.Discover entities.See connections.Build a topical map.

Telegram (software)

Telegram je cloudová služba instant messaging, zaměřená na rychlost a bezpečnost, která je dostupná prostřednictvím open source klientů pro mobilní zařízení s operačními systémy Android, iOS, Windows Phone a Firefox OS, pro osobní počítače s operačními systémy Microsoft Windows, macOS a Linux a pro webové prohlížeče. Uživatelé si mohou zasílat zprávy…

[CS, Czech, Čeština]

Historie, Kritika & Vlastnosti

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Telegram (software). Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Aktuální verze
2.0.1 (11. června 2026)
Licence
GPL
Operační systém
multiplatformní
První vydání
14. srpna 2013
Typ softwaru
instant messaging
Vyvíjeno v
C++ a Java

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Historie

Vlastnosti

Kritika

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.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Telegram (software)

Nodes52
Edges51
Triples8
Avg. degree1.96
Density0.038462
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Telegram (software)

Top relations

Aktuální verze · 1
Telegram (software) → 2.0.1 (11. června 2026)
Licence · 1
Telegram (software) → GPL
Operační systém · 1
Telegram (software) → multiplatformní
První vydání · 1
Telegram (software) → 14. srpna 2013
Typ softwaru · 1
Telegram (software) → instant messaging
Vyvíjeno v · 1
Telegram (software) → C++ a Java
Vývojář · 1
Telegram (software) → Telegram Messenger LLP
Web · 1
Telegram (software) → telegram.org

Important terminology Word statistics

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.

Important terminology

telegram uživatelů telegramu roce zpráv společnost 2024 počet durov srpna data mohou 2013 září včetně 2015 dolarů služby to prostřednictvím

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
Telegram (software)Aktuální verze2.0.1 (11. června 2026)1.00infobox
Telegram (software)LicenceGPL1.00infobox
Telegram (software)Operační systémmultiplatformní1.00infobox
Telegram (software)První vydání14. srpna 20131.00infobox
Telegram (software)Typ softwaruinstant messaging1.00infobox
Telegram (software)Vyvíjeno vC++ a Java1.00infobox
Telegram (software)VývojářTelegram Messenger LLP1.00infobox
Telegram (software)Webtelegram.org1.00infobox

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.