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Supi jsou mrchožraví ptáci, řazení do několika rodů v rámci čeledi jestřábovití. Dokážou sníst i zbytky zvířat, které jsou pro ostatní zvířata nestravitelné . Někdy sežerou tolik potravy, že nedokážou vzlétnout. Vyskytují se na všech kontinentech mimo Ameriky (zde je nahrazují kondoři), Austrálie a Antarktidy.
The analysis highlights Zástupci, Chov v zoo and Výškový rekord as prominent areas in the source structure around Sup.
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.
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The extracted context around Sup shows recurring relationship patterns in the source. For example, Sup → Aegypius, Aegypiussup, Gypaetus, Gypaetusorlosup, Gypohierax, Gypohieraxorlosup, Gyps, Gypssup, Necrosyrtes, Necrosyrtessup, Neophron, Neophronsup, Sarcogyps, Sarcogypssup, Torgos, Torgossup, Trigonoceps, Trigonocepssup Another extracted example is Sup → Americe, Egyptě, Horním Egyptě, Naproti, Nekhbet, Tibetu. 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.
zoo jsou praha supů supi krahujový hnědý bělohlavý himálajský kapucín mrchožravý bradatý orlosup 2019 druhů druhy of supí výškový rekord
TTTA extracted 33 structured relationships around Sup. Examples in this analysis include Sup → related to Chov v Zoo Praha → Zoo Praha and Sup → related to Chov v Zoo Praha → Vede. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Sup | related to Chov v Zoo Praha | Zoo Praha | 0.60 | section |
| Sup | related to Chov v Zoo Praha | Vede | 0.60 | section |
| Sup | related to Chov v Zoo Praha | Reintrodukce | 0.60 | section |
| Sup | related to Chov v Zoo Praha | In-situ | 0.60 | section |
| Sup | related to Symbolika | Egyptě | 0.60 | section |
| Sup | related to Symbolika | Horním Egyptě | 0.60 | section |
| Sup | related to Symbolika | Nekhbet | 0.60 | section |
| Sup | related to Symbolika | Naproti | 0.60 | section |
| Sup | related to Symbolika | Americe | 0.60 | section |
| Sup | related to Symbolika | Tibetu | 0.60 | section |
| Sup | related to Výškový rekord | Supi | 0.60 | section |
| Sup | related to Výškový rekord | Absolutní | 0.60 | section |
The concept neighborhoods around Sup bring nearby vocabulary together. In this analysis, examples include Bradatý, Bělohlavý and Himálajský. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Sup, one of the stronger structural bridges in this analysis connects Sup with Zástupci. 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 Sup to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Zástupci, Chov v zoo & Výškový rekord, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Sup · CS edition · Analysis: TopicsToTalkAbout
