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Šabac (Serbian Cyrillic: Шабац, pronounced ) is a city and the administrative centre of the Mačva District in western Serbia. The traditional centre of the fertile Mačva region, Šabac is located on the right bank of the river Sava. According to the 2011 census, the city proper has a population of 51,163, while its administrative area comprises 105,432…
The analysis highlights History, Politics, Economy and Regions as prominent areas in the source structure around Šabac.
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 Šabac shows recurring relationship patterns in the source. For example, Šabac → Archaeological, Banate, Beyerdelen, Bosnia, Böğürdelen, Croats, During, Hungarian, Hungarians, Hungary, In, Kingdom, Macsó, Matthias Corvinus, Middle Ages, Muslims, Neolithic, Ottoman, Ottoman Empire, Ottomans Another extracted example is Šabac → Abrašević, Branimir, Canadian, Jovanović, Knezev, Lalicki, Lečić, Lifeson, Ninić, Pavlović, Popović, Rush, Sekulić, Serbian, Serbian American, Spiridonović-Savić, Stanković, Veselinović, Vidaković, Vinaver. 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 city serbian town sava first ottoman area mačva population yugoslavia administrative arms part period army war zorka local organizations
TTTA extracted 158 structured relationships around Šabac. Examples in this analysis include Šabac → Area code → +381(0)15 and Šabac → Climate → Cfb. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Šabac | Area code | +381(0)15 | 1.00 | infobox |
| Šabac | Climate | Cfb | 1.00 | infobox |
| Šabac | Country | Serbia | 1.00 | infobox |
| Šabac | District | Mačva District | 1.00 | infobox |
| Šabac | Elevation | 83 m (272 ft) | 1.00 | infobox |
| Šabac | Municipality | Šabac | 1.00 | infobox |
| Šabac | Official languages | Serbian | 1.00 | infobox |
| Šabac | Postal code | 15000 | 1.00 | infobox |
| Šabac | Region | Mačva | 1.00 | infobox |
| Šabac | Settlements | 52 | 1.00 | infobox |
| Šabac | Statistical Region | Šumadija and Western Serbia | 1.00 | infobox |
| Šabac | Time zone | UTC+1 (CET) | 1.00 | infobox |
| Šabac | Vehicle registration | ŠA | 1.00 | infobox |
| Šabac | Website | www.sabac.org | 1.00 | infobox |
| Šabac | • Administrative | 795 km2 (307 sq mi) | 1.00 | infobox |
| Šabac | • Administrative | 105,432 | 1.00 | infobox |
| Šabac | • Administrative density | 133/km2 (343/sq mi) | 1.00 | infobox |
| Šabac | • Deputy Mayor | Milan Mačvan (Ind.) | 1.00 | infobox |
| Šabac | • Mayor | Aleksandar Pajić (SNS) | 1.00 | infobox |
| Šabac | • Rank | 25th in Serbia | 1.00 | infobox |
| Šabac | • Rank | 13th in Serbia | 1.00 | infobox |
| Šabac | • Ruling parties | SNS/ZS/ZS | 1.00 | infobox |
| Šabac | • Summer (DST) | UTC+2 (CEST) | 1.00 | infobox |
| Šabac | • Urban | 30.89 km2 (11.93 sq mi) | 1.00 | infobox |
| Šabac | • Urban | 51,163 | 1.00 | infobox |
| Šabac | • Urban density | 1,656/km2 (4,290/sq mi) | 1.00 | infobox |
The concept neighborhoods around Šabac bring nearby vocabulary together. In this analysis, examples include Serbia, Serbian and Ottoman. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Šabac, one of the stronger structural bridges in this analysis connects Šabac 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 Šabac to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Politics, Economy & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Šabac · EN edition · Analysis: TopicsToTalkAbout