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Us Weekly is an American weekly celebrity and entertainment magazine based in New York City. The magazine was founded as Us, a bi-weekly, in 1977 by the New York Times Company, which sold it in 1980. It was acquired by Wenner Media in 1986, changed to the weekly format and renamed Us Weekly in 2000, and sold to American Media Inc. in 2017. Shortly…
The analysis highlights History and Companies as prominent areas in the source structure around Us Weekly.
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 Us Weekly shows recurring relationship patterns in the source. For example, Us Weekly → American Media, Callahan's Macfadden Group, Company1980, Disney's, Inc, MillionJuly, Peter, Straight Arrow Publishers, The New York Times, The Walt Disney CompanyJanuary, Us, Us WeeklyFebruary, Us WeeklyMarch, Usmagazine, Wenner Media, Wenner Media LLC, Wenner Media LLC1991 Another extracted example is Us Weekly → DVDs, Hollywood's, HollywoodThe Red Carpet, Inspired, Just Like Us, Loose Talk, Musts, Pics, Police, Sesame Street, Stuff, The Record, TV, Wore It Best. 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.
us magazine weekly media celebrity new york company publication wenner american entertainment 2000 editor format chief like inc 50 2006
TTTA extracted 54 structured relationships around Us Weekly. Examples in this analysis include Us Weekly → Based in → New York City and Us Weekly → Categories → Celebrity. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Us Weekly | Based in | New York City | 1.00 | infobox |
| Us Weekly | Categories | Celebrity | 1.00 | infobox |
| Us Weekly | Chief content officer | Dylan Howard | 1.00 | infobox |
| Us Weekly | Company | A360 Media, LLC | 1.00 | infobox |
| Us Weekly | Country | United States | 1.00 | infobox |
| Us Weekly | Editor | Jennifer Peros | 1.00 | infobox |
| Us Weekly | Founded | May 3, 1977; 49 years ago (1977-05-03) | 1.00 | infobox |
| Us Weekly | Frequency | Weekly | 1.00 | infobox |
| Us Weekly | ISSN | 1529-7497 | 1.00 | infobox |
| Us Weekly | Language | English | 1.00 | infobox |
| Us Weekly | OCLC | 61312882 | 1.00 | infobox |
| Us Weekly | Total circulation | 2,032,581 (2013) | 1.00 | infobox |
| Us Weekly | Website | usmagazine.com | 1.00 | infobox |
| Us Weekly | is a | American weekly celebrity and entertainment magazine based in New York City | 0.90 | text |
The concept neighborhoods around Us Weekly bring nearby vocabulary together. In this analysis, examples include Weekly, Company and New. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Us Weekly, one of the stronger structural bridges in this analysis connects Us Weekly with In the media. 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 Us Weekly to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Us Weekly · EN edition · Analysis: TopicsToTalkAbout