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McTeague: A Story of San Francisco, otherwise known as simply McTeague, is a novel by Frank Norris, first published in 1899. It tells the story of a couple's courtship and marriage, and their subsequent descent into poverty and violence as the result of jealousy and greed. The book was the basis for the films McTeague (1916) and Erich von Stroheim's…
The analysis highlights Literary Connections, Adaptations and Plot summary as prominent areas in the source structure around McTeague.
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.
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 McTeague shows recurring relationship patterns in the source. For example, McTeague → Abo, American, Arnold Weinstein, Babaloo Mandel, Bob Balaban, Carol Kane, Christian Ford, Colleen Camp, Corporation, Ed Asner, Ed Begley Jr, Erich, Fania Marinoff, Fox, Greed, Greedy, Hector Elizondo, Holbrook Blinn, In, It Another extracted example is McTeague → Ark, His, In, Mac, Marcus, Marcus Schouler, Marcus's, McTeague's, More, Mrs, Noah's, Polk Street, San Francisco, Secretly, She, Shortly, Sieppe, The, Though, Trina. 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.
trina marcus greed norris frank mcteague's 000 money film san francisco novel becomes trina's first book also story name sieppe
TTTA extracted 102 structured relationships around McTeague. Examples in this analysis include McTeague → Author → Frank Norris and McTeague → Genre → Naturalism. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| McTeague | Author | Frank Norris | 1.00 | infobox |
| McTeague | Genre | Naturalism | 1.00 | infobox |
| McTeague | Language | English | 1.00 | infobox |
| McTeague | Publication date | 1899 | 1.00 | infobox |
| McTeague | Publication place | United States | 1.00 | infobox |
| McTeague | Publisher | Doubleday & McClure | 1.00 | infobox |
| McTeague | related to Adaptations | Life's Whirlpool | 0.60 | section |
| McTeague | related to Adaptations | Holbrook Blinn | 0.60 | section |
| McTeague | related to Adaptations | Fania Marinoff | 0.60 | section |
| McTeague | related to Adaptations | It | 0.60 | section |
| McTeague | related to Adaptations | Greed | 0.60 | section |
| McTeague | related to Adaptations | Erich | 0.60 | section |
The concept neighborhoods around McTeague bring nearby vocabulary together. In this analysis, examples include Marcus, Trina and Becomes. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For McTeague, one of the stronger structural bridges in this analysis connects McTeague with Adaptations. 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 McTeague to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Literary Connections, Adaptations & Plot summary, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — McTeague · EN edition · Analysis: TopicsToTalkAbout