Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Bafra: History, Geography, Economy & Regions
Bafra is a municipality and district of Samsun Province, Turkey. Covering about 1,500 km2, and with over 140,000 inhabitants it is a settlement located 20 kilometres (12 mi) from the Black Sea, in the fertile Kızılırmak Delta. The Bafra Plain is famous in Turkey for its rich soil and high quality tobacco growing conditions. The city is well known in…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Bafra topic overview
The analysis highlights History, Geography, Economy and Regions as prominent areas in the source structure around Bafra.
Related topics
46
Source areas
9
Connected nodes
55
Extracted relationships
115
Concept neighborhoods
22
Bridge connections
55
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.
History · 14 topics
Cuisine · 7 topics
Geography · 7 topics
Overview · 7 topics
Economy · 4 topics
Climate · 2 topics
Subdivisions · 2 topics
Weaving and crafts · 2 topics
Festivals · 1 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.
Area
1,503 km2 (580 sq mi)
Area code
0362
Climate
Csa
Country
Turkey
Population (2023)
143,109
Postal code
55400
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 Bafra 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 Bafra shows recurring relationship patterns in the source. For example, Bafra → Alçam, April, Atakum, Bafra Plain, Bafra's, Black Sea, Canik Mountains, Central Anatolia, Havza, It, July, Kavak, Küre Mountains, Kızıl Mountain, Kızılırmak, Kızılırmak River, Mount Nebiyan, Ondokuzmayıs, Samsun City Center, Samsun Province Another extracted example is Bafra → After, Anatolian Seljuk Ruler Kaykaus, Ba-Hura, Bafra Principality, Battle, BC, Byzantine Empire, During, Fall, Gadilon, Great River, Helega, Historical, Kizilirmak, Manzikert, Mongol Empire, Other, Ottoman Empire, Phoenician, Rome. Use these groups to spot repeated connection types before inspecting the individual relationships.
Bafra
Top relations
related to Geography· 28
Bafra → Alçam, April, Atakum, Bafra Plain, Bafra's, Black Sea, Canik Mountains, Central Anatolia, Havza, It, July, Kavak, Küre Mountains, Kızıl Mountain, Kızılırmak, Kızılırmak River, Mount Nebiyan, Ondokuzmayıs, Samsun City Center, Samsun Province
related to history· 26
Bafra → After, Anatolian Seljuk Ruler Kaykaus, Ba-Hura, Bafra Principality, Battle, BC, Byzantine Empire, During, Fall, Gadilon, Great River, Helega, Historical, Kizilirmak, Manzikert, Mongol Empire, Other, Ottoman Empire, Phoenician, Rome
related to Festivals· 16
Bafra → An, August, Bafra Watermelon Festival, Gökçeağaç Village, Kandil, Kapikaya Festival, Kapikaya Hill, Karadede Fair, Nature, Ramadan, Sele-Sepet, Sports Festival, Sunday, The, Thousands, Turkey
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 115 structured relationships around Bafra. Examples in this analysis include Bafra → Area → 1,503 km2 (580 sq mi) and Bafra → Area code → 0362. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Bafra
Area
1,503 km2 (580 sq mi)
1.00
infobox
Bafra
Area code
0362
1.00
infobox
Bafra
Climate
Csa
1.00
infobox
Bafra
Country
Turkey
1.00
infobox
Bafra
Population (2023)
143,109
1.00
infobox
Bafra
Postal code
55400
1.00
infobox
Bafra
Province
Samsun
1.00
infobox
Bafra
Time zone
UTC+3 (TRT)
1.00
infobox
Bafra
Website
www.bafra.bel.tr
1.00
infobox
Bafra
• Density
95.22/km2 (246.6/sq mi)
1.00
infobox
Bafra
• Mayor
Hamit Kılıç (AKP)
1.00
infobox
Bafra
is a
municipality and district of Samsun Province
0.90
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 Bafra bring nearby vocabulary together. In this analysis, examples include Province, Citation and District. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bafra
Province
Citation
District
Festival
Needed
Plain
Turkey
Tobacco
Quality
Residents
Kızılırmak
Population
bafra
Province
Citation
District
Festival
Needed
Plain
Turkey
Tobacco
Quality
Residents
Kızılırmak
Population
turkey
Municipality
Province
District
Samsun
Tobacco
Bafra
Climate
Km2
Mi
Agricultural
Area
Center
district
Climate
Municipality
Population
Province
Samsun
Turkey
Km2
Mi
Region
Area
Center
Economy
hot-summer mediterranean climate
District
Km2
Mi
Municipality
Area
Center
Economy
Province
Citation
Located
Needed
Kızılırmak
climate
District
Km2
Mi
Municipality
Area
Center
Economy
Province
Citation
Located
Needed
Kızılırmak
samsun province
Samsun
Located
Center
Km
Turkey
City
Climate
Km2
Mi
Area
Economy
Part
black sea
Black
Sea
Delta
Kızılırmak
Km2
Mi
Citation
Located
Needed
Plain
River
City
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 Bafra, one of the stronger structural bridges in this analysis connects Bafra 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Bafra
Nodes56
Edges55
Triples115
Avg. degree1.96
Density0.035714
Components1
Source & methodology
TTTA analyzes the structure around Bafra to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Economy & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Bafra · EN edition · Analysis: TopicsToTalkAbout
For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.
