Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Ťiang-su (čínsky pchin-jinem Jiāngsū, znaky zjednodušené 江苏, tradiční 江蘇) je pobřežní provincie Čínské lidové republiky, regionálně náležející k východní Číně. Ze všech čínských provincií má Ťiang-su druhé nejvyšší HDP a nejvyšší HDP na obyvatele, a jedná se tak o jednu z nejvyspělejších a ekonomicky nejsilnějších provincií. S rozlohou 98 285 km² a…
The analysis highlights Historie, Geografie and Ekonomika as prominent areas in the source structure around Ťiang-su.
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 Ťiang-su shows recurring relationship patterns in the source. For example, Ťiang-su → Chan, Dynastie Tchang, Jang-c, Nankingu, Oblasti, Po, Su-čou, Suej, Sung, Velkého, Východní Wu, Yang-čou Another extracted example is Ťiang-su → Chung-ce-chu, Jang-c’-ťiang, Jang-čeng-chu, Její, Kao-jou-chu, Luo-ma-chu, Nejdelší, Tchaj-chu, Vodní, Východočínského, Východočínským. 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.
provincie číny nanking hdp roce číně nankingu dynastie oblasti přičemž jako provincii čínské provincií město jihu druhé městem hlavní jüanů
TTTA extracted 76 structured relationships around Ťiang-su. Examples in this analysis include Ťiang-su → Geodata (OSM) → OSM, WMF and Ťiang-su → Guvernér → Sü Kchun-lin. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ťiang-su | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Ťiang-su | Guvernér | Sü Kchun-lin | 1.00 | infobox |
| Ťiang-su | HDP/obyv. | ¥115,768 $17,488 $34,752 (PPP) | 1.00 | infobox |
| Ťiang-su | Hlavní město | Nanking | 1.00 | infobox |
| Ťiang-su | Hustota zalidnění | 821,1 obyv./km² | 1.00 | infobox |
| Ťiang-su | ISO 3166-2 | CN-JS | 1.00 | infobox |
| Ťiang-su | Národnostní složení | Chanové 99,6% | 1.00 | infobox |
| Ťiang-su | Oficiální web | www.jiangsu.gov.cn | 1.00 | infobox |
| Ťiang-su | Počet obyvatel | 80 700 000 (2019) | 1.00 | infobox |
| Ťiang-su | Rozloha | 98 285 km² | 1.00 | infobox |
| Ťiang-su | Souřadnice | 33° s. š., 120° v. d. | 1.00 | infobox |
| Ťiang-su | Status | Provincie | 1.00 | infobox |
| Ťiang-su | Stát | Čína Čína | 1.00 | infobox |
| Ťiang-su | Tajemník KSČ | Wu Čeng-lung | 1.00 | infobox |
The concept neighborhoods around Ťiang-su bring nearby vocabulary together. In this analysis, examples include Provincie, Oblasti and Roce. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ťiang-su, one of the stronger structural bridges in this analysis connects Ťiang-su with Historie. 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 Ťiang-su to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Geografie & Ekonomika, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ťiang-su · CS edition · Analysis: TopicsToTalkAbout