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The Financial Times (FT) is a British daily newspaper printed in broadsheet and also published digitally that focuses on business and economic current affairs. Based in London, the paper is owned by a Japanese holding company, Nikkei, with core editorial offices across Britain, the United States and continental Europe. In July 2015, Pearson sold the…
The analysis highlights History, Regions, Measurement and Companies as prominent areas in the source structure around Financial Times. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
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.
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The extracted context around Financial Times shows recurring relationship patterns in the source. For example, Financial Times → Agnelli, America's Intelligence Wire, April, BC Partners, Business Standard, Business Standard Ltd, Endpoints News, Exec-Appointments, Financial Times Group, FT, FT Adviser, FT Group, FT Press, FT Search, FT Search Inc, FT Specialist, In November, Inc, India, Intelligence Another extracted example is Financial Times → Andrew Balls, Bank, Barclays, CBI, Conservative, Conservative Chancellor, Conservative Member, David Freud, England's, European, Exchequer, Financial News, George Graham, Hargreaves Parkinson, Jo Johnson, John Gardiner, John Kingman, John Makinson, Labour, Latin. 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.
ft financial times newspaper news editorial business paper economic london group magazine since editor publishing launched also nikkei pearson election
TTTA extracted 263 structured relationships around Financial Times. Examples in this analysis include Financial Times → Circulation → 104,971 (as of September 2025) and Financial Times → Deputy editor → Patrick Jenkins. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Financial Times | Circulation | 104,971 (as of September 2025) | 1.00 | infobox |
| Financial Times | Deputy editor | Patrick Jenkins | 1.00 | infobox |
| Financial Times | Editor | Roula Khalaf | 1.00 | infobox |
| Financial Times | Format | Broadsheet (345mm x 560mm) | 1.00 | infobox |
| Financial Times | Format | Digital | 1.00 | infobox |
| Financial Times | Founded | 9 January 1888; 138 years ago (1888-01-09) | 1.00 | infobox |
| Financial Times | Founder | James Sheridan | 1.00 | infobox |
| Financial Times | Headquarters | Bracken House London, England | 1.00 | infobox |
| Financial Times | ISSN | 0307-1766 | 1.00 | infobox |
| Financial Times | Language | English | 1.00 | infobox |
| Financial Times | OCLC number | 60638918 | 1.00 | infobox |
| Financial Times | Owner(s) | The Financial Times Ltd. (Nikkei Inc.) | 1.00 | infobox |
| Financial Times | Political alignment | Liberalism Conservative liberalism Centre to centre-right | 1.00 | infobox |
| Financial Times | Sister newspapers | Nikkei Asia | 1.00 | infobox |
| Financial Times | Type | Daily newspaper | 1.00 | infobox |
| Financial Times | Website | www.ft.com | 1.00 | infobox |
The concept neighborhoods around Financial Times bring nearby vocabulary together. In this analysis, examples include Times, News and Ft. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Financial Times, one of the stronger structural bridges in this analysis connects Financial Times with History. 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 Financial Times to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Regions, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Financial Times · EN edition · Analysis: TopicsToTalkAbout