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Lawrence Edward Kasdan (* 14. ledna 1949) je americký scenárista, režisér a producent. Je znám jako spoluautor filmů Star Wars: Epizoda V – Impérium vrací úder, Dobyvatelé ztracené archy a Star Wars: Epizoda VI – Návrat Jediů. Kasdan se taky podílel na psaní Star Wars: Síla se probouzí a bude se podílet na spin-off sérii o Hanu Solovi.
The analysis highlights Kariéra, Raný věk and Overview as prominent areas in the source structure around Lawrence Kasdan.
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 Lawrence Kasdan shows recurring relationship patterns in the source. For example, Lawrence Kasdan → Internet Movie Database, Obrázky, Slovenské, Wikimedia CommonsLawrence Kasdan Another extracted example is Lawrence Kasdan → University of Michigan. 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.
kasdan roce scénář star wars scenárista lawrence režisér filmu jako epizoda kasdana 14 ledna miami producent nejlepší san diego comic-con
TTTA extracted 14 structured relationships around Lawrence Kasdan. Examples in this analysis include Lawrence Kasdan → Alma mater → University of Michigan and Lawrence Kasdan → Choť → Meg Goldman Kasdan (1971–současnost). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Lawrence Kasdan | Alma mater | University of Michigan | 1.00 | infobox |
| Lawrence Kasdan | Choť | Meg Goldman Kasdan (1971–současnost) | 1.00 | infobox |
| Lawrence Kasdan | Děti | Jake Kasdan Jon Kasdan | 1.00 | infobox |
| Lawrence Kasdan | Narození | 14. ledna 1949 (77 let) Miami, Florida, U.S. | 1.00 | infobox |
| Lawrence Kasdan | Období | 1980–současnost | 1.00 | infobox |
| Lawrence Kasdan | Občanství | Spojené státy americké | 1.00 | infobox |
| Lawrence Kasdan | Ocenění | Cena Hugo za nejlepší hrané představení (1981, 1982 a 1984) Zlatý medvěd (1992) Screen Laurel Award (2006) | 1.00 | infobox |
| Lawrence Kasdan | Povolání | Scenárista, filmový režisér, filmový producent | 1.00 | infobox |
| Lawrence Kasdan | Rodné jméno | Lawrence Edward Kasdan | 1.00 | infobox |
| Lawrence Kasdan | related to Externí odkazy | Obrázky | 0.60 | section |
| Lawrence Kasdan | related to Externí odkazy | Wikimedia CommonsLawrence Kasdan | 0.60 | section |
| Lawrence Kasdan | related to Externí odkazy | Internet Movie Database | 0.60 | section |
The concept neighborhoods around Lawrence Kasdan bring nearby vocabulary together. In this analysis, examples include Ledna, Roce and Lawrence. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Lawrence Kasdan, one of the stronger structural bridges in this analysis connects Lawrence Kasdan with Kariéra. 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 Lawrence Kasdan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Kariéra, Raný věk & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Lawrence Kasdan · CS edition · Analysis: TopicsToTalkAbout