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Michael Small (May 30, 1939 – November 24, 2003) was an American film score composer known for his scores to thriller movies such as Klute, The Parallax View, Marathon Man, and The Star Chamber.
The analysis highlights Personal life and Overview as prominent areas in the source structure around Michael Small.
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 Michael Small shows recurring relationship patterns in the source. For example, Michael Small → Broadcast Music Inc, December, Film Score Monthly, IMDbMichael Small, January, Los Angeles Times, Matthias Büdinger, Michael Small Explores, Moon, Mountains, Nero Wolfe Mystery, Nero Wolfe SocietyObituary, Soundtrack, Soundtrack ArchivesMusic, Soundtrack Magazine, TCM Movie Database, The CinemaScore, The Doorbell Rang, The Independent, The New York Times Another extracted example is Michael Small → (1939-05-30)May 30, 1939 New York City, US. 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.
small 2003 new york film score composer city michael november 24 born died klute later may 30 1939 american known
TTTA extracted 31 structured relationships around Michael Small. Examples in this analysis include Michael Small → Born → (1939-05-30)May 30, 1939 New York City, US and Michael Small → Died → November 24, 2003(2003-11-24) (aged 64) New York City, US. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Michael Small | Born | (1939-05-30)May 30, 1939 New York City, US | 1.00 | infobox |
| Michael Small | Died | November 24, 2003(2003-11-24) (aged 64) New York City, US | 1.00 | infobox |
| Michael Small | Occupation | Film score composer | 1.00 | infobox |
| Michael Small | Spouse | Lynn Goldberg | 1.00 | infobox |
| Michael Small | Years active | 1969–2003 | 1.00 | infobox |
| Klute | instance of | was an American film score composer known for his scores to thriller movies | 0.80 | text |
| The Parallax View | instance of | was an American film score composer known for his scores to thriller movies | 0.80 | text |
| Marathon Man | instance of | was an American film score composer known for his scores to thriller movies | 0.80 | text |
| and The Star Chamber | instance of | was an American film score composer known for his scores to thriller movies | 0.80 | text |
| Michael Small | related to External links | IMDbMichael Small | 0.60 | section |
| Michael Small | related to External links | TCM Movie Database | 0.60 | section |
| Michael Small | related to External links | Michael Small Explores | 0.60 | section |
The concept neighborhoods around Michael Small bring nearby vocabulary together. In this analysis, examples include Film, Score and American. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Michael Small, one of the stronger structural bridges in this analysis connects Michael Small 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 Michael Small to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Personal life & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Michael Small · EN edition · Analysis: TopicsToTalkAbout