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Iftar (Arabic: إفطار, romanized: ifṭār; IPA: ) is the fast-breaking evening meal of Muslims in Ramadan at the time of adhan (call to prayer) of the Maghrib prayer.
The analysis highlights Around the world, Description and Overview as prominent areas in the source structure around Iftar.
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 Iftar shows recurring relationship patterns in the source. For example, Iftar → Amongst, Balochis, Chitral, Gilgit, In Pakistan, Islamabad, Kalli, Karachi, Laghman, Lahore, Many, Mohajir, Other, Pakistan, Pashtuns, Preparations, Punjabi, Shami Kebabs, Sindhi, Tajiks Another extracted example is Iftar → After Iftar, Bangladeshi, Bengal, Bengali, Bengalis, Drinks, Furir Bari Iftari, In, In Bangladesh, Isha, Juz, Maghrib, Pakora, People, Quran, Roasted, Some, Sylhet, Taraweeh. 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.
fast ramadan muslims dates break people mosques meal many prayer usually also water called special maghrib muslim dinner often time
TTTA extracted 305 structured relationships around Iftar. Examples in this analysis include Iftar → is a → second meal of the day and shorwa → instance of → followed by traditional dishes. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Iftar | is a | second meal of the day | 0.90 | text |
| shorwa | instance of | followed by traditional dishes | 0.80 | text |
| watermelon | instance of | Roasted chickpeas and different types of fruits | 0.80 | text |
| apple | instance of | Roasted chickpeas and different types of fruits | 0.80 | text |
| banana | instance of | Roasted chickpeas and different types of fruits | 0.80 | text |
| papaya | instance of | Roasted chickpeas and different types of fruits | 0.80 | text |
| pear | instance of | Roasted chickpeas and different types of fruits | 0.80 | text |
| mango | instance of | Roasted chickpeas and different types of fruits | 0.80 | text |
| pineapple | instance of | Roasted chickpeas and different types of fruits | 0.80 | text |
| lemon shorbot | instance of | Furir Bari Iftari is a common cultural tradition among Bengali families.Drinks | 0.80 | text |
| yoghurt shorbot | instance of | Furir Bari Iftari is a common cultural tradition among Bengali families.Drinks | 0.80 | text |
| kolak | instance of | as well as unique Indonesian sweet food and drink | 0.80 | text |
The concept neighborhoods around Iftar bring nearby vocabulary together. In this analysis, examples include Dinner, Many and People. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Iftar, one of the stronger structural bridges in this analysis connects Iftar with Around the world. 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 Iftar to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Around the world, Description & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Iftar · EN edition · Analysis: TopicsToTalkAbout