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Murom je starobylé město ve Vladimirské oblasti v Rusku. Nachází se na levém břehu řeky Oka. V devátém století n. l. to bylo nejvýchodnější sídlo východních Slovanů, kteří se usídlili na území obývaném ugrofinským národem zvaným Muromci, kteří hovořili dnes vymřelou muromštinou. Kronika vremenných let zmiňuje Murom v roce 862. Z vesnice Karačarovo poblíž…
The analysis highlights Partnerská města, Overview and Odkazy as prominent areas in the source structure around Murom.
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 Murom shows recurring relationship patterns in the source. For example, Murom → Obrázky, Wikimedia Commons Another extracted example is Murom → Centrální. 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.
commons města rusko pocházet muromské nádraží znak vlajka 55 34 51 42 14 mapě datové položky wikimedia rusku oka muromci
TTTA extracted 16 structured relationships around Murom. Examples in this analysis include Murom → Federální okruh → Centrální and Murom → Hustota zalidnění → 2 365,4 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Murom | Federální okruh | Centrální | 1.00 | infobox |
| Murom | Hustota zalidnění | 2 365,4 obyv./km² | 1.00 | infobox |
| Murom | Nadmořská výška | 115 m n. m. | 1.00 | infobox |
| Murom | Oblast | Vladimirská | 1.00 | infobox |
| Murom | Oficiální web | www.murom.info | 1.00 | infobox |
| Murom | Označení vozidel | 33 | 1.00 | infobox |
| Murom | Počet obyvatel | 104 078 (2025) | 1.00 | infobox |
| Murom | PSČ | 602250–602267 | 1.00 | infobox |
| Murom | Rozloha | 44 km² | 1.00 | infobox |
| Murom | Souřadnice | 55°34′51″ s. š., 42°3′14″ v. d. | 1.00 | infobox |
| Murom | Starosta | Evgeny Evgenievich Rychkov | 1.00 | infobox |
| Murom | Stát | Rusko Rusko | 1.00 | infobox |
| Murom | Telefonní předvolba | (+7) 49234 | 1.00 | infobox |
| Murom | Časové pásmo | UTC+3 | 1.00 | infobox |
The concept neighborhoods around Murom bring nearby vocabulary together. In this analysis, examples include Commons, Pocházet and Wikimedia. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Murom, one of the stronger structural bridges in this analysis connects Murom 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 Murom to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Partnerská města, Overview & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Murom · CS edition · Analysis: TopicsToTalkAbout