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Bochum je město v Severním Porýní – Vestfálsku v Německu. Leží v Porúří mezi městy Essen a Dortmund. Žije zde přibližně 366 tisíc obyvatel.
The analysis highlights Osobnosti spojené s městem, Historie and Partnerská města as prominent areas in the source structure around Bochum.
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.
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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.
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The extracted context around Bochum shows recurring relationship patterns in the source. For example, Bochum → Africe, Balkáně, Blízkém, Bochumi, BochumiGershon Kingsley, BundestaguHeinrich Johann Ostermann, CDU, DJ, Goosen, Herbert Grönemeyer, Lammert, Manfred Eigen, Nobelovy, Roman Scholl-Latour, Rudi Pell, Schily, SPD, Warnecke, Wolfgang Clement Another extracted example is Bochum → Bochumi, Bochumskou, BOGESTRA, Deutsche Bahn, Dortmundu, Duisburgu, Gelsenkirchen, Herne, Hlavní, Místní, S-Bahn, Veřejná, VRR, Witten. 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.
bochumi město obyvatel porúří commons německo 366 německu roce dva zde znak vlajka 51 29 13 datové položky doprava spojené
TTTA extracted 58 structured relationships around Bochum. Examples in this analysis include Bochum → Hustota zalidnění → 2 515,3 obyv./km² and Bochum → Nadmořská výška → 100 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Bochum | Hustota zalidnění | 2 515,3 obyv./km² | 1.00 | infobox |
| Bochum | Nadmořská výška | 100 m n. m. | 1.00 | infobox |
| Bochum | Oficiální web | www.bochum.de | 1.00 | infobox |
| Bochum | Označení vozidel | BO | 1.00 | infobox |
| Bochum | Počet obyvatel | 366 385 (2023) | 1.00 | infobox |
| Bochum | PSČ | 44701–44894 | 1.00 | infobox |
| Bochum | Rozloha | 145,66 km² | 1.00 | infobox |
| Bochum | Souřadnice | 51°29′ s. š., 7°13′ v. d. | 1.00 | infobox |
| Bochum | Spolková země | Severní Porýní-Vestfálsko | 1.00 | infobox |
| Bochum | Starosta | Jörg Lukat (od 2025) | 1.00 | infobox |
| Bochum | Stát | Německo Německo | 1.00 | infobox |
| Bochum | Telefonní předvolba | 0234 a 02327 | 1.00 | infobox |
| Bochum | Vládní obvod | Arnsberg | 1.00 | infobox |
The concept neighborhoods around Bochum bring nearby vocabulary together. In this analysis, examples include Commons, Oficiální and Wikimedia. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Bochum, one of the stronger structural bridges in this analysis connects Bochum with Osobnosti spojené s městem. 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 Bochum to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Osobnosti spojené s městem, Historie & Partnerská města, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Bochum · CS edition · Analysis: TopicsToTalkAbout
