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Kovin (Serbian Cyrillic: Ковин, Hungarian: Kevevára) is a town and municipality located in the South Banat District of the autonomous province of Vojvodina, Serbia. The town has a population of 11,623, while the municipality has 28,141 inhabitants (2022 census).
The analysis highlights History and Regions as prominent areas in the source structure around Kovin.
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 Kovin shows recurring relationship patterns in the source. For example, Kovin → AD, Ahtum, Albocenses, Banat, Contra Margum, Danube, Glad, Hungarians, Hungary, In, Keuee, Kingdom, Lazar Branković, Margum, Ottomans, Roman, Romanians, Serb, Serbia, Since Another extracted example is Kovin → Cuvin, Donji Kovin, German, Gornji Kovin, Hungarian, Hungary, In, In Romanian, Kevevára, Kubin, Lower Kovin, Ráckeve, Serb Kovin, Serbian, Temeschkubin, Temeskubin, Upper Kovin. 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.
serbia hungarian town serbian banat part municipality hungary century district province vojvodina became population ethnic within area south romanian kingdom
TTTA extracted 81 structured relationships around Kovin. Examples in this analysis include Kovin → Area code → +381(0)13 and Kovin → Country → Serbia. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kovin | Area code | +381(0)13 | 1.00 | infobox |
| Kovin | Country | Serbia | 1.00 | infobox |
| Kovin | District | South Banat | 1.00 | infobox |
| Kovin | Elevation | 68 m (223 ft) | 1.00 | infobox |
| Kovin | Official languages | Serbian together with Romanian and Hungarian | 1.00 | infobox |
| Kovin | Postal code | 26220, 26221, 26223 | 1.00 | infobox |
| Kovin | Province | Vojvodina | 1.00 | infobox |
| Kovin | Time zone | UTC+1 (CET) | 1.00 | infobox |
| Kovin | Website | http://www.kovin.org.rs/ | 1.00 | infobox |
| Kovin | • Mayor | Violeta Ocokoljić (SNS) | 1.00 | infobox |
| Kovin | • Municipality | 738.30 km2 (285.06 sq mi) | 1.00 | infobox |
| Kovin | • Municipality | 28,141 | 1.00 | infobox |
| Kovin | • Municipality density | 38.116/km2 (98.720/sq mi) | 1.00 | infobox |
| Kovin | • Summer (DST) | UTC+2 (CEST) | 1.00 | infobox |
| Kovin | • Town | 96.72 km2 (37.34 sq mi) | 1.00 | infobox |
| Kovin | • Town | 11,623 | 1.00 | infobox |
| Kovin | • Town density | 120.2/km2 (311.2/sq mi) | 1.00 | infobox |
The concept neighborhoods around Kovin bring nearby vocabulary together. In this analysis, examples include Hungarian, Serbian and Municipality. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Kovin, one of the stronger structural bridges in this analysis connects Kovin 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 Kovin to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Kovin · EN edition · Analysis: TopicsToTalkAbout