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Rwanda, plným názvem Rwandská republika (anglicky Republic of Rwanda, francouzsky République Rwandaise, v kinyarwandě Repubulika y'u Rwanda), je malý vnitrozemský stát ve Střední Africe. Sousedí s Ugandou (na severu), Tanzanií (na východě), Burundi (na jihu) a s Demokratickou republikou Kongo (na západě). Hlavním městem je Kigali. Rozloha je 26 338 km².…
The analysis highlights Historie, Demografie and Ekonomika as prominent areas in the source structure around Rwanda.
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 Rwanda shows recurring relationship patterns in the source. For example, Rwanda → African Affairs, Amnesty International, Amnesty International Report, Background Note, Bertelsmann Stiftung, BTI, Bureau, Businessinfo, CIA, CLAY, Daniel, Department, Dostupné, Encyclopaedia Britannica, Freedom House, Gütersloh, LEMARCHAND, Nairobi, Obrázky, Ottově Another extracted example is Rwanda → Burundi, Demokratická, Hutuové, Hutů, Kongo, Mezi, Národního, Následně, Od, OSN, Požadovali, Roku, Rwandu, Rwandy, Rwandě, Tanzanie, Tato, Tutsijská, Tutsiové, Tutsiů. 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.
tutsiové rwandy roce světě roku rwandě burundi hutuové prezident 1994 došlo online obyvatel tutsiů osn 1961 století cit 2011-08-19 dostupné
TTTA extracted 141 structured relationships around Rwanda. Examples in this analysis include Rwanda → Geodata (OSM) → OSM, WMF and Rwanda → HDI → ▲ 0,578 (nízký) (159. na světě, 2023). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Rwanda | Geodata (OSM) | OSM, WMF | 1.00 | infobox |
| Rwanda | HDI | ▲ 0,578 (nízký) (159. na světě, 2023) | 1.00 | infobox |
| Rwanda | HDP/obyv. (PPP) | 3 511 USD (167. na světě, 2023) | 1.00 | infobox |
| Rwanda | Hlavní město | Kigali | 1.00 | infobox |
| Rwanda | Hustota zalidnění | 470 obyv./km² (22. na světě) | 1.00 | infobox |
| Rwanda | ISO 3166-1 | 646 RWA RW | 1.00 | infobox |
| Rwanda | Jazyk | rwandština, francouzština, angličtina, svahilština | 1.00 | infobox |
| Rwanda | MPZ | RWA | 1.00 | infobox |
| Rwanda | Měna | rwandský frank (RWF) | 1.00 | infobox |
| Rwanda | Nejvyšší bod | Karisimbi (4507 m n. m.) | 1.00 | infobox |
| Rwanda | Náboženství | katolíci (43,7 %), protestanti (37,7 %), muslimové (2,0 %) | 1.00 | infobox |
| Rwanda | Národnostní složení | Hutuové (85 %), Tutsiové (14 %), Twa (1 %) | 1.00 | infobox |
| Rwanda | Národní TLD | .rw | 1.00 | infobox |
| Rwanda | Poloha | 2° j. š., 30° v. d. | 1.00 | infobox |
| Rwanda | Počet obyvatel | 13 246 394 (76. na světě, 2022) | 1.00 | infobox |
| Rwanda | Prezident | Paul Kagame | 1.00 | infobox |
| Rwanda | Předseda vlády | Justin Nsengiyumva | 1.00 | infobox |
| Rwanda | Rozloha | 26 338 km² (144. na světě) z toho 5,3 % vodní plochy | 1.00 | infobox |
| Rwanda | Státní zřízení | prezidentská republika | 1.00 | infobox |
| Rwanda | Telefonní předvolba | +250 | 1.00 | infobox |
| Rwanda | Vznik | 1. července 1962 (vyhlášení nezávislosti na Belgii) | 1.00 | infobox |
| Rwanda | Časové pásmo | +2 | 1.00 | infobox |
The concept neighborhoods around Rwanda bring nearby vocabulary together. In this analysis, examples include Online, Osn and Roku. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Rwanda, one of the stronger structural bridges in this analysis connects Rwanda with Historie. 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 Rwanda to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Demografie & Ekonomika, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Rwanda · CS edition · Analysis: TopicsToTalkAbout