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Sfax je tuniský přístav a druhé největší město v zemi, asi 240 km jižně od Tunisu na pobřeží Středozemního moře. V roce 2004 zde žilo kolem 265 000 obyvatel. Město založené v roce 849 je sídlem stejnojmenného guvernorátu o rozloze 7 545 km² s 945 000 obyvateli. V roce 1986 zde byla založena univerzita, která má v současnosti 8 fakult.
The analysis highlights Historie, Doprava and Popis města as prominent areas in the source structure around Sfax.
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 Sfax shows recurring relationship patterns in the source. For example, Sfax → Airbus, Gabesu, Gafsy, Jeho, Kerkennah, Má, Paříží, Po, Přístav, Syphax Airlines, Tozeuru, Tunisu Another extracted example is Sfax → Ekonomika, Je, Kromě, Od, Po, Rybářský, Tuniska, Turismus. 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.
zde roce 000 města město století ročně km obyvatel ze přístav druhé radnice 10 commons tunisko 2004 265 km² tunisu
TTTA extracted 39 structured relationships around Sfax. Examples in this analysis include Sfax → Hustota zalidnění → 4 734,5 obyv./km² and Sfax → Nadmořská výška → 13 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sfax | Hustota zalidnění | 4 734,5 obyv./km² | 1.00 | infobox |
| Sfax | Nadmořská výška | 13 m n. m. | 1.00 | infobox |
| Sfax | Oficiální web | www.commune-sfax.gov.tn | 1.00 | infobox |
| Sfax | Počet obyvatel | 265 131 (2004) | 1.00 | infobox |
| Sfax | PSČ | 3000 | 1.00 | infobox |
| Sfax | Rozloha | 56 km² | 1.00 | infobox |
| Sfax | Souřadnice | 34°43′48″ s. š., 10°45′36″ v. d. | 1.00 | infobox |
| Sfax | Starosta | Fethi Derbel | 1.00 | infobox |
| Sfax | Stát | Tunisko Tunisko | 1.00 | infobox |
| Sfax | related to Doprava | Tunisu | 0.60 | section |
| Sfax | related to Doprava | Gabesu | 0.60 | section |
| Sfax | related to Doprava | Gafsy | 0.60 | section |
The concept neighborhoods around Sfax bring nearby vocabulary together. In this analysis, examples include Commons, Datové and Tunisko. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sfax, one of the stronger structural bridges in this analysis connects Sfax 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 Sfax to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Doprava & Popis města, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sfax · CS edition · Analysis: TopicsToTalkAbout