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Milínov (německy Milinau) je obec v okrese Plzeň-jih v Plzeňském kraji. Žije zde 224 obyvatel.
The analysis highlights Historie, Obecní správa and Přírodní poměry as prominent areas in the source structure around Milínov.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Milínov shows recurring relationship patterns in the source. For example, Milínov → Blovice, Mezi, Nezvěsticím, Plzeň, Plzeň-jih Another extracted example is Milínov → Obrázky, Registru, RÚIAN, Wikimedia CommonsOficiální. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
obce plzeň-jih počet obec 13 commons česko 224 obyvatel plzeň okrese leží 49 38 35 33 58 zdroje infoboxu českým
TTTA extracted 32 structured relationships around Milínov. Examples in this analysis include Milínov → Adresa obecního úřadu → Milínov 48 332 04 Nezvěstice [email protected] and Milínov → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Milínov | Adresa obecního úřadu | Milínov 48 332 04 Nezvěstice [email protected] | 1.00 | infobox |
| Milínov | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Milínov | Historická země | Čechy | 1.00 | infobox |
| Milínov | Katastrální území | Milínov u Nezvěstic | 1.00 | infobox |
| Milínov | Kraj | Plzeňský | 1.00 | infobox |
| Milínov | Kód obce | 530140 | 1.00 | infobox |
| Milínov | Kód části obce | 104469 | 1.00 | infobox |
| Milínov | Nadmořská výška | 438 m n. m. | 1.00 | infobox |
| Milínov | Obec s rozšířenou působností | Blovice (správní obvod) | 1.00 | infobox |
| Milínov | Oficiální web | www.obecmilinov.cz | 1.00 | infobox |
| Milínov | Okres | Plzeň-jih | 1.00 | infobox |
| Milínov | Pověřená obec | Spálené Poříčí | 1.00 | infobox |
| Milínov | Počet domů | 82 (2021) | 1.00 | infobox |
| Milínov | Počet k. ú. | 1 | 1.00 | infobox |
| Milínov | Počet obyvatel | 224 (2025) | 1.00 | infobox |
| Milínov | Počet ZSJ | 2 | 1.00 | infobox |
| Milínov | Počet částí obce | 1 | 1.00 | infobox |
| Milínov | PSČ | 332 04 | 1.00 | infobox |
| Milínov | Rozloha | 12,27 km² | 1.00 | infobox |
| Milínov | Starosta | Pavel Moulis | 1.00 | infobox |
| Milínov | Status | obec | 1.00 | infobox |
| Milínov | Stát | Česko Česko | 1.00 | infobox |
| Milínov | Zeměpisné souřadnice | 49°38′35″ s. š., 13°33′58″ v. d. | 1.00 | infobox |
The concept neighborhoods around Milínov bring nearby vocabulary together. In this analysis, examples include Commons, Infoboxu and Nezvěstic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Milínov, one of the stronger structural bridges in this analysis connects Milínov with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Milínov to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Obecní správa & Přírodní poměry, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Milínov · CS edition · Analysis: TopicsToTalkAbout