Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Uster (Swiss Standard German pronunciation: ; Zurich German: Uschter, pronounced ) is a town and the capital of the Uster District in the Swiss canton of Zürich.
The analysis highlights History, Community and Standards as prominent areas in the source structure around Uster.
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 Uster shows recurring relationship patterns in the source. For example, Uster → Amt Greifensee, Andreas Church, Boesch, Bonstetten, Breitenlandenberg, Castle, During, Elisabeth, Even, First, Freiherr, Greifensee, Habsburg, Hermann II, House, In, January, Kirchrecht, Landenberg, Laubishof Another extracted example is Uster → Albanian, As, CSP, December, German, Green Party, In, Italian, Most, Over, SPS, SVP, The. 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.
zürich town greifensee population swiss church located canton city castle precipitation von area german one people wakker prize total 11
TTTA extracted 115 structured relationships around Uster. Examples in this analysis include Uster → Canton → Zürich and Uster → Country → Switzerland. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Uster | Canton | Zürich | 1.00 | infobox |
| Uster | Country | Switzerland | 1.00 | infobox |
| Uster | Demonym | Ustermer | 1.00 | infobox |
| Uster | District | Uster | 1.00 | infobox |
| Uster | Elevation | 462 m (1,516 ft) | 1.00 | infobox |
| Uster | ISO 3166 code | CH-ZH | 1.00 | infobox |
| Uster | Localities | Kirchuster, Freudwil, Nänikon, Niederuster, Nossikon, Oberuster, Riedikon, Sulzbach, Wermatswil, Werrikon, Winikon-Gschwader | 1.00 | infobox |
| Uster | Postal code | 8610 | 1.00 | infobox |
| Uster | SFOS number | 198 | 1.00 | infobox |
| Uster | Surrounded by | Fehraltorf, Gossau, Greifensee, Maur, Mönchaltorf, Pfäffikon, Seegräben, Volketswil | 1.00 | infobox |
| Uster | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Uster | Twin towns | Prenzlau (Germany) | 1.00 | infobox |
| Uster | Website | www.uster.ch | 1.00 | infobox |
| Uster | • Density | 1,237/km2 (3,205/sq mi) | 1.00 | infobox |
| Uster | • Executive | Stadtrat with 7 members | 1.00 | infobox |
| Uster | • Mayor | Stadtpräsidentin (list) Barbara Thalmann Stammbach SPS/PSS (as of July 2018) | 1.00 | infobox |
| Uster | • Parliament | Gemeinderat with 36 members | 1.00 | infobox |
| Uster | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Uster | • Total | 28.56 km2 (11.03 sq mi) | 1.00 | infobox |
| Uster | • Total | 35,337 | 1.00 | infobox |
| Uster | is a | 14-minute ride | 0.90 | text |
The concept neighborhoods around Uster bring nearby vocabulary together. In this analysis, examples include Zürich, Located and Castle. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Uster, one of the stronger structural bridges in this analysis connects Uster 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 Uster to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Uster · EN edition · Analysis: TopicsToTalkAbout