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Ťi-nan (čínsky pchin-jinem Jǐnán, znaky 济南) je subprovinční město v Čínské lidové republice. Je hlavním městem provincie Šan-tung ležící ve východní Číně, má rozlohu přes 10 tisíc čtverečních kilometrů a k roku 2000 mělo více než sedm miliónů obyvatel, k roku 2020 o dva miliony více.
The analysis highlights Partnerská města, Poloha and Jméno as prominent areas in the source structure around Ťi-nan.
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 Ťi-nan shows recurring relationship patterns in the source. For example, Ťi-nan → C’-po, Krasové, Laj-wu, Liao-čchengem, Pekingu, Pin-čou, Tchaj-anem, Tchaj-šanu, Te-čou, Vyplňuje Another extracted example is Ťi-nan → Hlavním, Jao-čchiang, Je, Peking. 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.
město doprava šan-tung září kilometrů 2000 commons provincie města čína 10 obyvatel 2020 19 29 ledna 22 subprovinční čínské lidové
TTTA extracted 29 structured relationships around Ťi-nan. Examples in this analysis include Ťi-nan → Hustota zalidnění → 898,3 obyv./km² and Ťi-nan → Nadmořská výška → 23 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ťi-nan | Hustota zalidnění | 898,3 obyv./km² | 1.00 | infobox |
| Ťi-nan | Nadmořská výška | 23 m n. m. | 1.00 | infobox |
| Ťi-nan | Oficiální web | www.jinan.gov.cn | 1.00 | infobox |
| Ťi-nan | Počet obyvatel | 9 202 432 (2020) | 1.00 | infobox |
| Ťi-nan | Provincie | Šan-tung | 1.00 | infobox |
| Ťi-nan | PSČ | 250000 | 1.00 | infobox |
| Ťi-nan | Rozloha | 10 244,45 km² | 1.00 | infobox |
| Ťi-nan | Souřadnice | 36°40′ s. š., 116°59′ v. d. | 1.00 | infobox |
| Ťi-nan | Starosta | Wang Čong-lin | 1.00 | infobox |
| Ťi-nan | Stát | Čína Čína | 1.00 | infobox |
| Ťi-nan | Telefonní předvolba | 531 | 1.00 | infobox |
| Ťi-nan | Časové pásmo | UTC+8 | 1.00 | infobox |
The concept neighborhoods around Ťi-nan bring nearby vocabulary together. In this analysis, examples include Commons, Subprovinční and Čína. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ťi-nan, one of the stronger structural bridges in this analysis connects Ťi-nan with Partnerská města. 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 Ťi-nan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Partnerská města, Poloha & Jméno, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ťi-nan · CS edition · Analysis: TopicsToTalkAbout