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WeWork Inc. is an American company headquartered in New York City that provides coworking spaces, including physical and virtual shared spaces, in approximately 600 buildings in 125 cities.
The analysis highlights History, Geography, Art and Companies as prominent areas in the source structure around WeWork.
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 WeWork shows recurring relationship patterns in the source. For example, WeWork → Also, Amazon, Bangalore, Broad Street, China, Embassy Group, February, Fifth Avenue, Germany, HBC, Hony Capital, Hudson's Bay Company, In April, In August, In July, In June, In May, In October, In September, India Another extracted example is WeWork → Also, Cash, CEO Adam Neumann's, China, Chinese, College Park, Conductor, COO, December, Designation, Gulfstream G650, In, In April, In August, In December, In January, In July, In March, In May, In November. 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.
company 2019 billion million neumann softbank 2020 2018 2017 new adam announced also locations october september acquired location bankruptcy ceo
TTTA extracted 269 structured relationships around WeWork. Examples in this analysis include WeWork → Area served → Worldwide and WeWork → Founded → 2010; 16 years ago (2010). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| WeWork | Area served | Worldwide | 1.00 | infobox |
| WeWork | Founded | 2010; 16 years ago (2010) | 1.00 | infobox |
| WeWork | Founders | Adam Neumann | 1.00 | infobox |
| WeWork | Founders | Miguel McKelvey | 1.00 | infobox |
| WeWork | Headquarters | New York City, U.S. | 1.00 | infobox |
| WeWork | Industry | Commercial real estate | 1.00 | infobox |
| WeWork | Key people | John Santora (CEO) | 1.00 | infobox |
| WeWork | Net income | 436,099 United States dollar (2016) | 1.00 | infobox |
| WeWork | Number of locations | 154 locations in 35 countries (2024) | 1.00 | infobox |
| WeWork | Parent | Cupar Grimmond, an affiliate of Yardi Systems (60%) SoftBank (20%) Other (20%) | 1.00 | infobox |
| WeWork | Services | Coworking | 1.00 | infobox |
| WeWork | Traded as | OTC Pink: WEWKQ (2023) | 1.00 | infobox |
| WeWork | Traded as | NYSE: WE (2021–2023) | 1.00 | infobox |
| WeWork | Type | Private limited company | 1.00 | infobox |
| WeWork | Website | wework.com | 1.00 | infobox |
| WeWork | founded in | 2010 | 0.95 | text |
| WeWork | founded by | Adam Neumann and Miguel McKelvey | 0.90 | text |
The concept neighborhoods around WeWork bring nearby vocabulary together. In this analysis, examples include Million, October and Announced. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For WeWork, one of the stronger structural bridges in this analysis connects WeWork 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 WeWork to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WeWork · EN edition · Analysis: TopicsToTalkAbout