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Freden: Art, Personalities & Overview

Freden (German pronunciation: ) is a village and a municipality in the district of Hildesheim, in Lower Saxony, Germany. It is situated on the river Leine, approx. 25 km south of Hildesheim. Since 1 November 2016, the former municipalities Everode, Landwehr and Winzenburg are part of the municipality Freden.

Language: English [EN]
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Freden topic overview

The analysis highlights Art, Personalities and Overview as prominent areas in the source structure around Freden.

Related topics
11
Source areas
2
Connected nodes
13
Extracted relationships
14
Related term clusters
11
Bridge connections
13

What this topic covers Research coverage

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.

Overview · 10 topics
Personalities · 1 topics

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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Country
Germany
Dialling codes
05184
District
Hildesheim
Elevation
127 m (417 ft)
Postal codes
31084
State
Lower Saxony

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Freden
8Hildesheim (district) · Lower Saxony · Germany
3Samtgemeinde · Freden (Samtgemeinde) · Friedrich Lorenz

Explore all related topics Closing gaps

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.

Overview

Personalities

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Freden connects Entity context

The extracted context around Freden shows recurring relationship patterns in the source. For example, Freden → 4,508, 53.49 km2 (20.65 sq mi) Another extracted example is Freden → Germany. Use these groups to spot repeated connection types before inspecting the individual relationships.

Freden

Top relations

• Total · 2
Freden → 4,508, 53.49 km2 (20.65 sq mi)
Country · 1
Freden → Germany
Dialling codes · 1
Freden → 05184
District · 1
Freden → Hildesheim
Elevation · 1
Freden → 127 m (417 ft)
Postal codes · 1
Freden → 31084
State · 1
Freden → Lower Saxony
Time zone · 1
Freden → UTC+01:00 (CET)
Vehicle registration · 1
Freden → HI
Website · 1
Freden → www.gemeindefreden.de

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

municipality hildesheim germany lower saxony mw-parser-output former references font-size 100 district leine coat arms media screen html skin-theme-clientpref-night img filter

Freden relationships Subject–Predicate–Object triples

TTTA extracted 14 structured relationships around Freden. Examples in this analysis include Freden → Country → Germany and Freden → Dialling codes → 05184. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FredenCountryGermany1.00infobox
FredenDialling codes051841.00infobox
FredenDistrictHildesheim1.00infobox
FredenElevation127 m (417 ft)1.00infobox
FredenPostal codes310841.00infobox
FredenStateLower Saxony1.00infobox
FredenTime zoneUTC+01:00 (CET)1.00infobox
FredenVehicle registrationHI1.00infobox
FredenWebsitewww.gemeindefreden.de1.00infobox
Freden• Density84.28/km2 (218.3/sq mi)1.00infobox
Freden• Mayor .mw-parser-output .nobold{font-weight:normal}(2021–26)Daniel Bernhardt (Ind.)1.00infobox
Freden• Summer (DST)UTC+02:00 (CEST)1.00infobox
Freden• Total53.49 km2 (20.65 sq mi)1.00infobox
Freden• Total4,5081.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Freden bring nearby vocabulary together. In this analysis, examples include Municipality, District and Font-size. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Freden
    • Municipality
    • District
    • Font-size
    • Former
    • Germany
    • Lower
    • Mw-parser-output
    • References
    • Saxony
    • Hildesheim
    • German
    • Html
  • freden
    • Municipality
    • District
    • Font-size
    • Former
    • Germany
    • Lower
    • Mw-parser-output
    • References
    • Saxony
    • Hildesheim
    • German
    • Html
  • district of hildesheim
    • Font-size
    • Germany
    • Lower
    • Mw-parser-output
    • References
    • Saxony
    • Hildesheim
    • Filter
    • Freden
    • German
    • Html
    • Img
  • germany
    • Lower
    • Mw-parser-output
    • References
    • Saxony
    • Hildesheim
    • Arms
    • Coat
    • Dark
    • Filter
    • Html
    • Img
    • Infobox
  • hildesheim
    • Germany
    • Lower
    • Mw-parser-output
    • References
    • Saxony
    • Municipality
    • Arms
    • Coat
    • Dark
    • Filter
    • Html
    • Img
  • lower saxony
    • Germany
    • Mw-parser-output
    • References
    • Saxony
    • Arms
    • Coat
    • Dark
    • Filter
    • Html
    • Img
    • Media
    • Municipality
  • leine
    • Approx
    • Arms
    • Coat
    • Dark
    • Filter
    • Html
    • Img
    • Media
    • Prefers-color-scheme
    • River
    • Screen
    • Situated
  • everode
    • Landwehr
    • Winzenburg
    • Former
    • Freden
    • Municipality

Connections between topic areas Semantic bridges

For Freden, one of the stronger structural bridges in this analysis connects Freden with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Freden — Overview · splits 3 ⟂ 11

Map overview Semantic statistics

Freden

Nodes14
Edges13
Triples14
Avg. degree1.86
Density0.142857
Components1

Source & methodology

TTTA analyzes the structure around Freden to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Personalities & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Freden · EN edition · Analysis: TopicsToTalkAbout

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