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Uber Technologies Inc. je americká nadnárodní dopravní společnost, která poskytuje služby sdílené jízdy, kurýrní služby, rozvoz jídla a nákladní přepravu. Společnost sídlí v San Francisku a své služby poskytuje v 15 tisících městech v 70 zemích. Je to světově největší společnost sdílené dopravy s více než 180 miliony aktivních uživatelů měsíčně a 6…
The analysis highlights Historie, Aplikace a služby Uber and Marketing as prominent areas in the source structure around Uber.
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 Uber shows recurring relationship patterns in the source. For example, Uber → Anchorage, Asii, Chicaga, Indii, Johannesburgu, Kapském Městě, Londýna, Montréalu, New Yorku, Od, Paříži, Pekingu, Po, Singapuru, Soulu, Sydney, Tijuaně, Toronta, Téhož, UberX Another extracted example is Uber → Austinu, Barcelony, Berlíně, Během, Carnegie Mellon, Chicaga, Kromě, Londýně, Los Angeles, Madridu, New Yorku, Paříži, Pittsburghu, South, Southwest, Taxikáři, Uber Advanced Technology Center, Uber Eats, UberFRESH, UberPOOL. 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.
společnost uberu roce 2014 2015 služby společnosti roku jako to taxi řidičů 2017 dolarů řidiči mld řidiče více kalanick aplikace
TTTA extracted 245 structured relationships around Uber. Examples in this analysis include Uber → Adresa sídla → Howard Street 405, San Francisco, 941 05, USA and Uber → Celková aktiva → 23,4 mld. $ (2018). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Uber | Adresa sídla | Howard Street 405, San Francisco, 941 05, USA | 1.00 | infobox |
| Uber | Celková aktiva | 23,4 mld. $ (2018) | 1.00 | infobox |
| Uber | Datum založení | březen 2009 | 1.00 | infobox |
| Uber | Dceřiné společnosti | deCarta Uber Eats Uber Movement Uber Fleet Uber rideshare service | 1.00 | infobox |
| Uber | ISIN | US90353T1007 | 1.00 | infobox |
| Uber | Klíčoví lidé | Travis Kalanick (CEO) | 1.00 | infobox |
| Uber | LEI | 549300B2FTG34FILDR98 | 1.00 | infobox |
| Uber | Majitel | Morgan Stanley (5,1 %) | 1.00 | infobox |
| Uber | Oblast činnosti | informační technologie a peer-to-peer ridesharing | 1.00 | infobox |
| Uber | Obrat | 6,5 mld. USD (2016) | 1.00 | infobox |
| Uber | Oficiální web | www.uber.com | 1.00 | infobox |
| Uber | OpenCorporates ID | jp/8010401103046 | 1.00 | infobox |
| Uber | Provozní zisk | 2,8 mld. $ (2024) 1,1 mld. $ (2023) | 1.00 | infobox |
| Uber | Právní forma | Společnost s ručením omezeným | 1.00 | infobox |
| Uber | Rozsah působení | celosvětově | 1.00 | infobox |
| Uber | Služby | Taxi, Internet | 1.00 | infobox |
| Uber | Souřadnice sídla | 37°46′32,8″ s. š., 122°25′4,93″ z. d. | 1.00 | infobox |
| Uber | Sídlo | San Francisco, Kalifornie, USA | 1.00 | infobox |
| Uber | Tržní kapitalizace | 189,1 mld. $ (2025) 62,5 mld. $ (2015) | 1.00 | infobox |
| Uber | Výsledek hospodaření | 9,9 mld. $ (2024) 1,9 mld. $ (2023) | 1.00 | infobox |
| Uber | Zakladatelé | Travis Kalanick, Garrett Camp | 1.00 | infobox |
| Uber | Zaměstnanci | 12 000 (2017) | 1.00 | infobox |
The concept neighborhoods around Uber bring nearby vocabulary together. In this analysis, examples include Roce, Taxi and Řidičů. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Uber, one of the stronger structural bridges in this analysis connects Uber with Historie. 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 Uber to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Aplikace a služby Uber & Marketing, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Uber · CS edition · Analysis: TopicsToTalkAbout