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Year 1100 (MC) was a leap year starting on Sunday in the Julian calendar. It was the last year of the 11th century and the first year of the 12th century. In the proleptic Gregorian calendar, it was a non-leap century year starting on Monday (like 1900).
The analysis highlights Art and Regions as prominent areas in the source structure around 1100.
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 1100 shows recurring relationship patterns in the source. For example, 1100 → 4200–4201 Another extracted example is 1100 → 1021–1022. 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.
date approximate august england year king calendar henry de nobleman robert chinese mc support ruler city emperor september french 18
TTTA extracted 32 structured relationships around 1100. Examples in this analysis include 1100 → - Kali Yuga → 4200–4201 and 1100 → - Shaka Samvat → 1021–1022. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| 1100 | - Kali Yuga | 4200–4201 | 1.00 | infobox |
| 1100 | - Shaka Samvat | 1021–1022 | 1.00 | infobox |
| 1100 | - Vikram Samvat | 1156–1157 | 1.00 | infobox |
| 1100 | Ab urbe condita | 1853 | 1.00 | infobox |
| 1100 | Armenian calendar | 549 ԹՎ ՇԽԹ | 1.00 | infobox |
| 1100 | Assyrian calendar | 5850 | 1.00 | infobox |
| 1100 | Balinese saka calendar | 1021–1022 | 1.00 | infobox |
| 1100 | Bengali calendar | 506–507 | 1.00 | infobox |
| 1100 | Berber calendar | 2050 | 1.00 | infobox |
| 1100 | Buddhist calendar | 1644 | 1.00 | infobox |
| 1100 | Burmese calendar | 462 | 1.00 | infobox |
| 1100 | Byzantine calendar | 6608–6609 | 1.00 | infobox |
| 1100 | Chinese calendar | 己卯年 (Earth Rabbit) 3797 or 3590 — to — 庚辰年 (Metal Dragon) 3798 or 3591 | 1.00 | infobox |
| 1100 | Coptic calendar | 816–817 | 1.00 | infobox |
| 1100 | Discordian calendar | 2266 | 1.00 | infobox |
| 1100 | English Regnal year | 13 Will. 2 – 1 Hen. 1 | 1.00 | infobox |
| 1100 | Ethiopian calendar | 1092–1093 | 1.00 | infobox |
| 1100 | Gregorian calendar | 1100 MC | 1.00 | infobox |
| 1100 | Hebrew calendar | 4860–4861 | 1.00 | infobox |
| 1100 | Holocene calendar | 11100 | 1.00 | infobox |
| 1100 | Igbo calendar | 100–101 | 1.00 | infobox |
| 1100 | Iranian calendar | 478–479 | 1.00 | infobox |
| 1100 | Islamic calendar | 493–494 | 1.00 | infobox |
| 1100 | Japanese calendar | Kōwa 2 (康和２年) | 1.00 | infobox |
| 1100 | Javanese calendar | 1005–1006 | 1.00 | infobox |
| 1100 | Julian calendar | 1100 MC | 1.00 | infobox |
| 1100 | Korean calendar | 3433 | 1.00 | infobox |
| 1100 | Minguo calendar | 812 before ROC 民前812年 | 1.00 | infobox |
| 1100 | Nanakshahi calendar | −368 | 1.00 | infobox |
| 1100 | Seleucid era | 1411/1412 AG | 1.00 | infobox |
The concept neighborhoods around 1100 bring nearby vocabulary together. In this analysis, examples include Calendar, Julian and Year. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For 1100, one of the stronger structural bridges in this analysis connects 1100 with Overview. 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 1100 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — 1100 · EN edition · Analysis: TopicsToTalkAbout