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Šibenik (italsky Sebenico) je město v Chorvatsku, ležící u Šibenického zálivu v ústí řeky Krky do Jaderského moře. Nachází se v regionu severní Dalmácie. Žije zde 34 302 obyvatel. Město je správním střediskem Šibenicko-kninské župy.
The analysis highlights Historie, Kultura and Osobnosti města as prominent areas in the source structure around Šibenik.
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 Šibenik shows recurring relationship patterns in the source. For example, Šibenik → Baldekin, Baldekin II, Baldekin III, Bogdanovići, Crnica, Građa, Jadrija, Mandalina, Meterize, Plišac, Podsolarsko, Ražine, Ražine Donje, Stari, Varoš, Vidići, Zablaće Another extracted example is Šibenik → Bosny, Brána, Během, Hercegoviny, Je, Krky, Království Jugoslávie, Mezi, Perković, Přístav, Rakousko-Uherska, Rijece, Střední Evropy, Terstu, Vznikl, Významný, Za. 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 města šibeniku století roce přístav zde místní roku obyvatel nachází sv svatého době pobřeží území období např jako itálie
TTTA extracted 146 structured relationships around Šibenik. Examples in this analysis include Šibenik → Etnické složení → Chorvati - 94,02% and Šibenik → Hustota zalidnění → 239,3 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Šibenik | Etnické složení | Chorvati - 94,02% | 1.00 | infobox |
| Šibenik | Hustota zalidnění | 239,3 obyv./km² | 1.00 | infobox |
| Šibenik | Nadmořská výška | 0 m n. m. | 1.00 | infobox |
| Šibenik | Oficiální web | www.sibenik.hr | 1.00 | infobox |
| Šibenik | Označení vozidel | ŠI | 1.00 | infobox |
| Šibenik | Počet obyvatel | 34 302 (2011) | 1.00 | infobox |
| Šibenik | PSČ | 22 000 | 1.00 | infobox |
| Šibenik | Rozloha | 143,35 km² | 1.00 | infobox |
| Šibenik | Souřadnice | 43°43′45″ s. š., 15°54′8″ v. d. | 1.00 | infobox |
| Šibenik | Starosta | Željko Burić | 1.00 | infobox |
| Šibenik | Stát | Chorvatsko Chorvatsko | 1.00 | infobox |
| Šibenik | Telefonní předvolba | {+385} 022 | 1.00 | infobox |
| Šibenik | Vznik | Desetiletí od 860 | 1.00 | infobox |
| Šibenik | Župa | Šibenicko-kninská | 1.00 | infobox |
The concept neighborhoods around Šibenik bring nearby vocabulary together. In this analysis, examples include Itálie, Době and Šibeniku. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Šibenik, one of the stronger structural bridges in this analysis connects Šibenik 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 Šibenik to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Kultura & Osobnosti města, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Šibenik · CS edition · Analysis: TopicsToTalkAbout