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Megalodon (Otodus megalodon, v překladu „velký zub“, nebo také Carcharocles megalodon) je vyhynulý druh žraloka, který žil před asi 23 až 3,6 milionu let během období od raného miocénu do pliocénu. O systematice tohoto tvora probíhaly debaty. Dle jedněch názorů patřil do čeledi lamnovití (Lamnidae) a byl blízkým příbuzným velkého žraloka bílého…
The analysis highlights V kultuře a kryptozoologii, Taxonomie and Popis as prominent areas in the source structure around Megalodon.
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 Megalodon shows recurring relationship patterns in the source. For example, Megalodon → Becker, Bernvigeremy Cliff, Bonnan, Catalina Pimiento, Cooper, David, Dicken, Griffiths, Historical Biology, Hutchinson, Inferences, ISBN, Jan, Jan Menzel, Jeanette Pirlo, John, Kenshu Shimada, Martin, Matt, Matthew Another extracted example is Megalodon → Autor, BBC Putování, Brygmophyseter, DC, DCU, Discovery Channel, Je, Jurské, Lidožrout, Liga, Meg, Megažralok, Monstra, Na, Nigelem Marvenem, Nové, Obří, Stevea Altena, Tedford, Tento. 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.
megalodona jako žraloka zuby žralok jeho základě carcharocles například rodu otodus pravděpodobně žraloků druhy bílého mohl vyhynutí pliocénu jsou metrů
TTTA extracted 211 structured relationships around Megalodon. Examples in this analysis include Megalodon → Kmen → strunatci (Chordata) and Megalodon → Nadřád → žraloci (Selachimoha). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Megalodon | Kmen | strunatci (Chordata) | 1.00 | infobox |
| Megalodon | Nadřád | žraloci (Selachimoha) | 1.00 | infobox |
| Megalodon | Rod | Otodus | 1.00 | infobox |
| Megalodon | Třída | paryby (Chondichthyes) | 1.00 | infobox |
| Megalodon | Čeleď | Otodontidae | 1.00 | infobox |
| Megalodon | Řád | obrouni (Lamnifomes) | 1.00 | infobox |
| Megalodon | Říše | živočichové (Animalia) | 1.00 | infobox |
| Megalodon | related to Externí odkazy | Obrázky | 0.60 | section |
| Megalodon | related to Externí odkazy | Wikimedia Commons Taxon Carcharocles | 0.60 | section |
| Megalodon | related to Externí odkazy | WikidruzíchČlánek | 0.60 | section |
| Megalodon | related to Externí odkazy | Prehistoric Beast | 0.60 | section |
| Megalodon | related to Externí odkazy | Week | 0.60 | section |
The concept neighborhoods around Megalodon bring nearby vocabulary together. In this analysis, examples include Jako, Otodus and Carcharocles. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Megalodon, one of the stronger structural bridges in this analysis connects Megalodon with Paleobiologie. 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 Megalodon to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as V kultuře a kryptozoologii, Taxonomie & Popis, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Megalodon · CS edition · Analysis: TopicsToTalkAbout