Research any topic before you write.

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

Hostavice

Hostavice (německy Hostawitz) jsou bývalá vesnice, dnes městská čtvrť a katastrální území Prahy, součást městské části Praha 14 v městském obvodu Praha 9.

[CS, Czech, Čeština]

Historie, Životní prostředí & Sousední katastry a městské části

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 Hostavice. 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.

Geodata (OSM)
OSM, WMF
Kód k. ú.
731722
Kód části obce
400793
Městská část
Praha 14
Obec
Praha
Obvod
Praha 9

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

Životní prostředí

Instituce

Sousední katastry a městské části

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.

Map overview Semantic statistics

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

Hostavice

Nodes37
Edges36
Triples22
Avg. degree1.95
Density0.054054
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.

Hostavice

Top relations

related to Externí odkazy · 5
Hostavice → Městské, Obrázky, Oficiální, Praha, Wikimedia CommonsKatastrální
related to Historie · 3
Hostavice → Do, První, Staré Hostavice
related to Související články · 2
Hostavice → Hostavicích, Praha
Geodata (OSM) · 1
Hostavice → OSM, WMF
Kód k. ú. · 1
Hostavice → 731722
Kód části obce · 1
Hostavice → 400793
Městská část · 1
Hostavice → Praha 14
Obec · 1
Hostavice → Praha
Obvod · 1
Hostavice → Praha 9
Počet domů · 1
Hostavice → 744 (2024)

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

praha 14 části městské roce hostavic území část domů městská ulici katastrální zvonička commons česko prahy století ulice rodinných dnes

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
HostaviceGeodata (OSM)OSM, WMF1.00infobox
HostaviceKód k. ú.7317221.00infobox
HostaviceKód části obce4007931.00infobox
HostaviceMěstská částPraha 141.00infobox
HostaviceObecPraha1.00infobox
HostaviceObvodPraha 91.00infobox
HostavicePočet domů744 (2024)1.00infobox
HostavicePočet obyvatel3 800 (2021)1.00infobox
HostavicePočet ZSJ41.00infobox
HostaviceSprávní obvodPraha 141.00infobox
HostaviceStátČesko Česko1.00infobox
HostaviceZeměpisné souřadnice50°5′34″ s. š., 14°33′30″ v. d.1.00infobox

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.