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Selfkant (German: ⓘ; Dutch: Selfkant or Zelfkant ; Limburgish: Zelfkantj [ˈzæl˦əfˌkɑntʃ˦]) is a municipality in the Heinsberg district, in North Rhine-Westphalia, Germany. It is the most westerly municipality in Germany.
The analysis highlights History and Geography as prominent areas in the source structure around Selfkant.
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 Selfkant shows recurring relationship patterns in the source. For example, Selfkant → After, Amt Born, Amt Sittard, Amtmann, Congress, French, From, Heinsberg, Hillensberg, In, Jülich, Middle Ages, Millen, Netherlands, Prussian Rhine, Roer, Second World War, Sittard, Süsterseel, The Another extracted example is Selfkant → Amt Waldfeucht, August, From, German, German Marks, Germany, Havert, Hillensberg, Höngen, In March, July, Millen, Netherlands, October, Saeffelen, Süsterseel, The, Two, Tüddern, Wehr. 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.
dutch germany municipality german tüddern heinsberg mw-parser-output district north rhine-westphalia netherlands became part millen references border font-size 100 süsterseel inhabitants
TTTA extracted 85 structured relationships around Selfkant. Examples in this analysis include Selfkant → Admin. region → Köln and Selfkant → Country → Germany. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Selfkant | Admin. region | Köln | 1.00 | infobox |
| Selfkant | Country | Germany | 1.00 | infobox |
| Selfkant | Dialling codes | 02456, 02455 (Saeffelen) | 1.00 | infobox |
| Selfkant | District | Heinsberg | 1.00 | infobox |
| Selfkant | Elevation | 69 m (226 ft) | 1.00 | infobox |
| Selfkant | Postal codes | 52538 | 1.00 | infobox |
| Selfkant | State | North Rhine-Westphalia | 1.00 | infobox |
| Selfkant | Subdivisions | 16 | 1.00 | infobox |
| Selfkant | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Selfkant | Vehicle registration | HS | 1.00 | infobox |
| Selfkant | Website | www.selfkant.de | 1.00 | infobox |
| Selfkant | • Density | 256.3/km2 (663.7/sq mi) | 1.00 | infobox |
| Selfkant | • Mayor .mw-parser-output .nobold{font-weight:normal}(2020–25) | Norbert Reyans (CDU) | 1.00 | infobox |
| Selfkant | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Selfkant | • Total | 42.09 km2 (16.25 sq mi) | 1.00 | infobox |
| Selfkant | • Total | 10,786 | 1.00 | infobox |
| Selfkant | is a | most westerly point in Germany since 1919 | 0.90 | text |
The concept neighborhoods around Selfkant bring nearby vocabulary together. In this analysis, examples include Part, Tüddern and Html. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Selfkant, one of the stronger structural bridges in this analysis connects Selfkant 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 Selfkant to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Geography, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Selfkant · EN edition · Analysis: TopicsToTalkAbout