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Daniel Bensaïd (25. března 1946 Toulouse – 12. ledna 2010 Paříž) byl francouzský filozof židovského původu. Byl vůdce trockistického hnutí ve Francii. Jakožto student Univerzity Paříž X v Nanterre byl jednou z hlavních figur nepokojů v květnu 1968 (byl spolu s Daniel Cohn-Benditem zakladatelem Hnutí 22. března). Později se stal profesorem filozofie na…
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Daniel Bensaïd.
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 Daniel Bensaïd shows recurring relationship patterns in the source. For example, Daniel Bensaïd → Archivováno, GuardianOficiální, Nekrolog, Obrázky, Socialistická Solidarita, Wayback Machine, Wikimedia CommonsNekrolog Another extracted example is Daniel Bensaïd → Vyšší normální škola v Saint-Cloud Univerzita Paříž X. 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.
paříž francie března daniel toulouse 25 12 ledna 1946 2010 filozof aids commons hnutí et bensaïd 1968 úmrtí datové položky
TTTA extracted 17 structured relationships around Daniel Bensaïd. Examples in this analysis include Daniel Bensaïd → Alma mater → Vyšší normální škola v Saint-Cloud Univerzita Paříž X and Daniel Bensaïd → Místo pohřbení → krematorium s kolumbáriem Père-Lachaise. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Daniel Bensaïd | Alma mater | Vyšší normální škola v Saint-Cloud Univerzita Paříž X | 1.00 | infobox |
| Daniel Bensaïd | Místo pohřbení | krematorium s kolumbáriem Père-Lachaise | 1.00 | infobox |
| Daniel Bensaïd | Narození | 25. března 1946 Toulouse, Francie Francie | 1.00 | infobox |
| Daniel Bensaïd | Občanství | Francie | 1.00 | infobox |
| Daniel Bensaïd | Politické strany | Revoluční komunistická liga Nová protikapitalistická strana | 1.00 | infobox |
| Daniel Bensaïd | Povolání | filozof, školní učitel, spisovatel, vysokoškolský učitel, aktivista, trockista a politik | 1.00 | infobox |
| Daniel Bensaïd | Příčina úmrtí | rakovina a AIDS | 1.00 | infobox |
| Daniel Bensaïd | Rodné jméno | Daniel Ben Saïd | 1.00 | infobox |
| Daniel Bensaïd | Zaměstnavatel | Pařížská univerzita | 1.00 | infobox |
| Daniel Bensaïd | Úmrtí | 12. ledna 2010 (ve věku 63 let) Paříž, Francie Francie | 1.00 | infobox |
| Daniel Bensaïd | related to Externí odkazy | Obrázky | 0.60 | section |
| Daniel Bensaïd | related to Externí odkazy | Wikimedia CommonsNekrolog | 0.60 | section |
The concept neighborhoods around Daniel Bensaïd bring nearby vocabulary together. In this analysis, examples include Paříž, Commons and Daniel. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Daniel Bensaïd, one of the stronger structural bridges in this analysis connects Daniel Bensaïd with Overview. 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 Daniel Bensaïd to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Daniel Bensaïd · CS edition · Analysis: TopicsToTalkAbout