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Wildeck (German pronunciation: ) is a municipality in Hersfeld-Rotenburg district in northeastern Hesse, Germany lying right at the boundary with Thuringia, 54 km southeast of Kassel.
The analysis highlights History, Geography, Culture and Politics as prominent areas in the source structure around Wildeck.
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 Wildeck shows recurring relationship patterns in the source. For example, Wildeck → After, Amt, Colmatsch, Eisenach, Friedrich, Fulda Abbey, Fulda Abbey's, Hermann, Hesse, Hötzelsroda, In, Landgraves, Middle Ages, Nicholas's Monastery, Nikolaikloster, Raßdorf, Richelsdorf, Schloßberg, St, The Another extracted example is Wildeck → Berka/Werra, Dankmarshausen, Friedewald, Gerstungen, Großensee, Heringen, Hersfeld-Rotenburg, Nentershausen, Ronshausen, Sontra, Thuringia's Wartburgkreis, Werra-Meißner-Kreis. 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.
community hesse germany german hersfeld-rotenburg obersuhl richelsdorf communities eisenach east mw-parser-output district middle 100 right kassel lies west werra amt
TTTA extracted 65 structured relationships around Wildeck. Examples in this analysis include Wildeck → Admin. region → Kassel and Wildeck → Country → Germany. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Wildeck | Admin. region | Kassel | 1.00 | infobox |
| Wildeck | Country | Germany | 1.00 | infobox |
| Wildeck | Dialling codes | 06626 | 1.00 | infobox |
| Wildeck | District | Hersfeld-Rotenburg | 1.00 | infobox |
| Wildeck | Highest elevation | 465 m (1,526 ft) | 1.00 | infobox |
| Wildeck | Lowest elevation | 208 m (682 ft) | 1.00 | infobox |
| Wildeck | Postal codes | 36208 | 1.00 | infobox |
| Wildeck | State | Hesse | 1.00 | infobox |
| Wildeck | Subdivisions | 5 districts | 1.00 | infobox |
| Wildeck | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Wildeck | Vehicle registration | HEF | 1.00 | infobox |
| Wildeck | Website | www.wildeck.de | 1.00 | infobox |
| Wildeck | • Density | 117.7/km2 (304.9/sq mi) | 1.00 | infobox |
| Wildeck | • Mayor .mw-parser-output .nobold{font-weight:normal}(2020–26) | Alexander Wirth (Ind.) | 1.00 | infobox |
| Wildeck | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Wildeck | • Total | 39.93 km2 (15.42 sq mi) | 1.00 | infobox |
| Wildeck | • Total | 4,701 | 1.00 | infobox |
The concept neighborhoods around Wildeck bring nearby vocabulary together. In this analysis, examples include Communities, German and Hersfeld-rotenburg. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Wildeck, one of the stronger structural bridges in this analysis connects Wildeck with Geography. 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 Wildeck to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Culture & Politics, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Wildeck · EN edition · Analysis: TopicsToTalkAbout