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Freakonomics: A Rogue Economist Explores the Hidden Side of Everything is the debut non-fiction book by University of Chicago economist Steven Levitt and New York Times journalist Stephen J. Dubner. Published on April 12, 2005, by William Morrow, the book has been described as melding pop culture with economics. By late 2009, the book had sold over 4…
The analysis highlights History, Literary Connections and Cultures as prominent areas in the source structure around Freakonomics.
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 Freakonomics shows recurring relationship patterns in the source. For example, Freakonomics → American Economic Association, American Law, Ariel Rubinstein, Article, Buy Life Insurance, Day, December, DiNardo, Dubner, Economic Literature, Economics Review, Everything, Freak-Freakonomics, Gang Leader, Global Cooling, Hidden Side, Interesting Questions, ISBN, John, Journal Another extracted example is Freakonomics → AFI/Discovery SilverDocs, Alex Gibney, April, Chad Troutwine, Chris Romano, Closing Night Gala, Dan O'Meara, Eugene Jarecki, Fall, Heidi Ewing, In, It, June, Magnolia Pictures, Morgan Spurlock, No, Opening Night, Rachel Grady, Seth Gordon, The Movie. 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.
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TTTA extracted 177 structured relationships around Freakonomics. Examples in this analysis include Freakonomics → Author → Steven D. Levitt and Freakonomics → Author → Stephen J. Dubner. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Freakonomics | Author | Steven D. Levitt | 1.00 | infobox |
| Freakonomics | Author | Stephen J. Dubner | 1.00 | infobox |
| Freakonomics | Followed by | SuperFreakonomics | 1.00 | infobox |
| Freakonomics | ISBN | .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r… | 1.00 | infobox |
| Freakonomics | Language | English | 1.00 | infobox |
| Freakonomics | Media type | Hardback and paperback | 1.00 | infobox |
| Freakonomics | OCLC | 73307236 | 1.00 | infobox |
| Freakonomics | Pages | 336 pp (hardback edition) | 1.00 | infobox |
| Freakonomics | Publication date | April 12, 2005 | 1.00 | infobox |
| Freakonomics | Publication place | United States | 1.00 | infobox |
| Freakonomics | Publisher | William Morrow | 1.00 | infobox |
| Freakonomics | Subject | Economics, sociology | 1.00 | infobox |
The concept neighborhoods around Freakonomics bring nearby vocabulary together. In this analysis, examples include Blog, New and York. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Freakonomics, one of the stronger structural bridges in this analysis connects Freakonomics 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 Freakonomics to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Literary Connections & Cultures, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Freakonomics · EN edition · Analysis: TopicsToTalkAbout