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Black Death: Regions, Names & Previous plague epidemics
The Black Death was a plague pandemic that occurred in Europe from 1346 to 1353. It was one of the most fatal pandemics in human history, leading to the death of up to 50 million people, or 50% of Europe's 14th-century population. The disease was caused by the bacterium Yersinia pestis, which is primarily spread by flea bites, though it may also spread…
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Black Death topic overview
The analysis highlights Regions, Names and Previous plague epidemics as prominent areas in the source structure around Black Death.
Related topics
278
Source areas
5
Connected nodes
284
Extracted relationships
71
Concept neighborhoods
33
Bridge connections
284
What this topic covers Research coverage
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.
Overview · 220 topics
Names · 19 topics
Previous plague epidemics · 16 topics
Origin · 12 topics
Recurrences · 11 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Location
Eurasia and North Africa
Date
1346–1353
Deaths
25,000,000 – 50,000,000 (estimated)
Disease
Plague
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Black Death connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Black Death shows recurring relationship patterns in the source. For example, Black Death → Bronze Age, Caffa, Carbon, Central Asia, China, Constantinople, Crimea, DNA, Europe, From Crimea, Genetic, Genoese, Golden Horde, Italian Peninsula, Jani Beg, Lake Baikal, Many, Mediterranean Basin, Middle East, Nature Another extracted example is Black Death → Burana, Chüy Valley, DNA, Eurasia, Europe, Here, In, Kara-Djigach, Kyrgyzstan, Lake Issyk-Kul, Middle East, Syriac, The, There, This, Yersinia. Use these groups to spot repeated connection types before inspecting the individual relationships.
Black Death
Top relations
related to Origin· 29
Black Death → Bronze Age, Caffa, Carbon, Central Asia, China, Constantinople, Crimea, DNA, Europe, From Crimea, Genetic, Genoese, Golden Horde, Italian Peninsula, Jani Beg, Lake Baikal, Many, Mediterranean Basin, Middle East, Nature
related to Patient zero· 16
Black Death → Burana, Chüy Valley, DNA, Eurasia, Europe, Here, In, Kara-Djigach, Kyrgyzstan, Lake Issyk-Kul, Middle East, Syriac, The, There, This, Yersinia
related to Names· 7
Black Death → Black, Danish, European, In English, Latin, Subsequent, The
related to External links· 3
Black Death → BBC History, BBCBlack Death, In Our Time
Date· 1
Black Death → 1346–1353
Deaths· 1
Black Death → 25,000,000 – 50,000,000 (estimated)
Disease· 1
Black Death → Plague
Location· 1
Black Death → Eurasia and North Africa
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Black Death relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 71 structured relationships around Black Death. Examples in this analysis include Black Death → Date → 1346–1353 and Black Death → Deaths → 25,000,000 – 50,000,000 (estimated). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Black Death
Date
1346–1353
1.00
infobox
Black Death
Deaths
25,000,000 – 50,000,000 (estimated)
1.00
infobox
Black Death
Disease
Plague
1.00
infobox
Black Death
Location
Eurasia and North Africa
1.00
infobox
food poisoning may have been referring to the Black Death
instance of
Mongol records of illness
0.80
text
Jews
instance of
various groups
0.80
text
friars
instance of
various groups
0.80
text
foreigners
instance of
various groups
0.80
text
beggars
instance of
various groups
0.80
text
pilgrims
instance of
various groups
0.80
text
acne or psoriasis
instance of
and others with skin diseases
0.80
text
were killed throughout Europe.Because 14th-century healers
instance of
and others with skin diseases
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Black Death bring nearby vocabulary together. In this analysis, examples include Death, Europe and Pestis. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Black Death
Death
Europe
Pestis
Evidence
Plague
Pandemic
East
Middle
Spread
Population
China
Epidemic
black death
Death
Europe
Pestis
Evidence
Plague
Pandemic
Population
East
May
Middle
Spread
China
plague
First
Century
Bubonic
Mortality
Outbreaks
Epidemic
Outbreak
Fleas
Spread
Pneumonic
Transmission
Epidemics
pandemic
Second
Plague
First
Epidemics
Transmission
European
China
Pestis
Outbreak
Europe
Evidence
Disease
europe
Middle
East
Pestis
First
Plague
North
Outbreak
Late
China
Mortality
Pandemic
Evidence
yersinia pestis
Pestis
Yersinia
Evidence
Plague
Fleas
Transmission
Epidemic
Bubonic
East
Caused
Found
May
second plague pandemic
Second
Plague
First
Century
Epidemics
Transmission
Bubonic
Fleas
Mortality
Outbreaks
Epidemic
European
epidemic of bubonic plague
Pneumonic
First
Transmission
Pestis
Century
Spread
Bubonic
Plague
Fleas
Second
May
Mortality
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Black Death, one of the stronger structural bridges in this analysis connects Black Death 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.
Min side: 3
Black Death — Overview· splits 63 ⟂ 222Black Death — Names· splits 265 ⟂ 20Black Death — Previous plague epidemics· splits 268 ⟂ 17Black Death — Origin· splits 272 ⟂ 13Black Death — Recurrences· splits 273 ⟂ 12
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Black Death
Nodes285
Edges284
Triples71
Avg. degree1.99
Density0.007018
Components1
Source & methodology
TTTA analyzes the structure around Black Death to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Regions, Names & Previous plague epidemics, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
