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Hama is a city on the banks of the Orontes River in west-central Syria. It is located 213 kilometres (132 mi) north of Damascus and 46 km (29 mi) north of Homs. It is the provincial capital of the Hama Governorate, which is the only governorate that has no land borders with any foreign countries. With a population of around 600-800 thousands (2026), Hama…
The analysis highlights History and Community as prominent areas in the source structure around Hama. 2 topics appear in more than one source area, which can help identify connections that are less obvious in a linear reading.
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 Hama shows recurring relationship patterns in the source. For example, Hama → ABC-CLIO, Africa, Age, An Outline History, Andrew, Annals, April, Archived, Ba'athist Syria, Beattie, Berney, Biblical, Brill, Bruce, Caliphates, Cambyses II, Catholic Encyclopedia, Century, Century Seismic Paroxysm, Ch Another extracted example is Hama → Abu, Afdal Muhammad, After, Afterward, Aleppo, August, Ayyubid, Ayyubids, By, Crusader, Crusaders, Damascus, Din, Fida, Galilee, Geographer Yaqut, Great Mosque, Hama's, Hamawi, Hassanayn Mosque. 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.
city syria hamath bc century town rule syrian greek aleppo roman damascus part cities known mosque homs ancient became also
TTTA extracted 435 structured relationships around Hama. Examples in this analysis include Hama → Area codes → Country code: +963 City code: 33 and Hama → Climate → BSk. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Hama | Area codes | Country code: +963 City code: 33 | 1.00 | infobox |
| Hama | Climate | BSk | 1.00 | infobox |
| Hama | Country | Syria | 1.00 | infobox |
| Hama | Demonym(s) | Arabic: حموي, romanized: Ḥamawiyy | 1.00 | infobox |
| Hama | District | Hama District | 1.00 | infobox |
| Hama | Elevation | 305 m (1,001 ft) | 1.00 | infobox |
| Hama | First settled | 15th century BCE | 1.00 | infobox |
| Hama | Geocode | C2987 | 1.00 | infobox |
| Hama | Governorate | Hama Governorate | 1.00 | infobox |
| Hama | Subdistrict | Hama Subdistrict | 1.00 | infobox |
| Hama | Time zone | UTC+3 (AST) | 1.00 | infobox |
| Hama | • Ethnicities | Syrians | 1.00 | infobox |
| Hama | • Religions | Sunni Islam Syriac Orthodox Church Greek Orthodox Church | 1.00 | infobox |
| Hama | • Total | 546 604 | 1.00 | infobox |
| Hama | is a | city on the banks of the Orontes River in west-central Syria | 0.90 | text |
The concept neighborhoods around Hama bring nearby vocabulary together. In this analysis, examples include Syria, Roman and Century. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Hama, one of the stronger structural bridges in this analysis connects Hama 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 Hama to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Community, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Hama · EN edition · Analysis: TopicsToTalkAbout