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Marcus Licinius Crassus (115 př. n. l. – 53 př. n. l.) byl římský politik, vojevůdce a nejbohatší člověk v období úpadku římské republiky. Svůj majetek získal především za Sullovy diktatury díky proskripcím. V roce 60 př. n. l. uzavřel se svým dřívějším rivalem Gnaeem Pompeiem a Juliem Caesarem první triumvirát. Po roce 55 př. n. l. se stal prokonzulem v…
The analysis highlights Život, Overview and Odkazy as prominent areas in the source structure around Marcus Licinius Crassus.
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 Marcus Licinius Crassus shows recurring relationship patterns in the source. For example, Marcus Licinius Crassus → Dědem Marka Crassa, Gaiem Mariem, Gaius, Jeho, Marcus Licinius Crassus Agelastus, Pocházel, Publia Licinia Crassa Diva, Publiu Liciniu Crassu Divovi, Publius, Scipiona Africana Another extracted example is Marcus Licinius Crassus → Obrázky, Wikimedia Commons. 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.
př crassus jeho roce římské 53 roku bitvě marcus licinius řím crassa června jako svého armády mu bohatství spartakus smrti
TTTA extracted 22 structured relationships around Marcus Licinius Crassus. Examples in this analysis include Marcus Licinius Crassus → Choť → Tertulla and Marcus Licinius Crassus → Commons → Marcus Licinius Crassus. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Marcus Licinius Crassus | Choť | Tertulla | 1.00 | infobox |
| Marcus Licinius Crassus | Commons | Marcus Licinius Crassus | 1.00 | infobox |
| Marcus Licinius Crassus | Děti | Publius Licinius Crassus Marcus Licinius Crassus | 1.00 | infobox |
| Marcus Licinius Crassus | Narození | 115 př. n. l. starověký Řím | 1.00 | infobox |
| Marcus Licinius Crassus | Občanství | starověký Řím | 1.00 | infobox |
| Marcus Licinius Crassus | Profese | politik, voják a armádní důstojník | 1.00 | infobox |
| Marcus Licinius Crassus | Příbuzní | Publius Licinius Crassus (bratr) | 1.00 | infobox |
| Marcus Licinius Crassus | Rodiče | Publius Licinius Crassus Dives | 1.00 | infobox |
| Marcus Licinius Crassus | Úmrtí | 8. června 53 př. n. l. (ve věku 61–62 let) nebo 9. června 53 př. n. l. (ve věku 61–62 let) Harran | 1.00 | infobox |
| Marcus Licinius Crassus | Členství | Optimáti | 1.00 | infobox |
| Marcus Licinius Crassus | related to Externí odkazy | Obrázky | 0.60 | section |
| Marcus Licinius Crassus | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
The concept neighborhoods around Marcus Licinius Crassus bring nearby vocabulary together. In this analysis, examples include Marcus, Crassa and Starověký. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Marcus Licinius Crassus, one of the stronger structural bridges in this analysis connects Marcus Licinius Crassus with Život. 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 Marcus Licinius Crassus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, Overview & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Marcus Licinius Crassus · CS edition · Analysis: TopicsToTalkAbout