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Sojitz: History, Companies & Products
Sojitz Corporation (Japanese: 双日株式会社, Hepburn: Sōjitsu Kabushiki-gaisha) is a sogo shosha (general trading company) based in Tokyo, Japan. It is engaged in a wide range of businesses globally, including buying, selling, importing, and exporting goods, manufacturing and selling products, providing services, and planning and coordinating projects, in Japan…
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Sojitz topic overview
The analysis highlights History, Companies and Products as prominent areas in the source structure around Sojitz.
Related topics
112
Source areas
4
Connected nodes
116
Extracted relationships
105
Related term clusters
27
Bridge connections
116
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.
ADV Films acquisition · 35 topics
History · 34 topics
Current operations · 31 topics
Overview · 12 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.
Founded
August 2004; 22 years ago (2004-08)
Industry
Conglomerate (Sogo shosha)
Headquarters
Chiyoda, Tokyo, Japan
Key people
Masayoshi Fujimoto (president & CEO)
Native name
双日株式会社
Net income
JP¥36.5 billion (2016)
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Sojitz
11Japanese language · Hepburn romanization · Sogo shosha
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.
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Advanced semantic analysis
How Sojitz 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 Sojitz shows recurring relationship patterns in the source. For example, Sojitz → ADV, ADV Films, ADV's, Ah, Air, American, Anime Central, Bandai Entertainment, Bandits, Best Student Council, Blade, Centimeters, Comic Party Revolution, Coyote Ragtime Show, Devil May Cry, Extend, Fancy, Flights, Funimation, Ghost Train Another extracted example is Sojitz → Alcoa, Australia, Australian, Gallium Recovery Project, Gregory Crinum, In October, Meteor Downs South, Minerva, Queensland, Sojitz Blue, Sojitz Blue Pty Ltd, Sojitz Corporation, United States, Wagerup, Western Australia. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 105 structured relationships around Sojitz. Examples in this analysis include Sojitz → Founded → August 2004; 22 years ago (2004-08) and Sojitz → Headquarters → Chiyoda, Tokyo, Japan. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Sojitz
Founded
August 2004; 22 years ago (2004-08)
1.00
infobox
Sojitz
Headquarters
Chiyoda, Tokyo, Japan
1.00
infobox
Sojitz
Industry
Conglomerate (Sogo shosha)
1.00
infobox
Sojitz
Key people
Masayoshi Fujimoto (president & CEO)
1.00
infobox
Sojitz
Native name
双日株式会社
1.00
infobox
Sojitz
Net income
JP¥36.5 billion (2016)
1.00
infobox
Sojitz
Number of employees
14,330 (2016)
1.00
infobox
Sojitz
Revenue
JP¥4,006 billion (2016)
1.00
infobox
Sojitz
Romanized name
Sōjitsu kabushiki gaisha
1.00
infobox
Sojitz
Traded as
TYO: 2768
1.00
infobox
Sojitz
Type
Public
1.00
infobox
Sojitz
Website
www.sojitz.com/en/
1.00
infobox
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 Sojitz bring nearby vocabulary together. In this analysis, examples include Japan, Company and Nissho. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Sojitz
Japan
Company
Nissho
Acquired
Also
Iwai
Merger
Name
Nichimen
Tokyo
Include
Project
sojitz
Japan
Company
Nissho
Acquired
Also
Iwai
Merger
Name
Nichimen
Tokyo
Include
Project
japanese
Shosha
Sogo
Trading
Japan
Nichimen
Tokyo
Largest
Companies
Steel
Merger
War
Name
sogo shosha
Shosha
Sogo
Tokyo
Largest
Companies
Trading
War
Japan
Nichimen
Nissho
Chemicals
General
japanese asset price bubble
Shosha
Sogo
Trading
Japan
Nichimen
Tokyo
Largest
Companies
Steel
Merger
War
Name
mitsubishi corporation
Shosha
Sogo
Merger
Sojitz
Tokyo
Japan
Co
Largest
Nissho
Japanese
Companies
Iwai
sumitomo corporation
Shosha
Sogo
Merger
Sojitz
Tokyo
Japan
Co
Largest
Nissho
Japanese
Companies
Iwai
japan defense agency
Operations
Tokyo
Trading
Largest
Japanese
Sojitz
Companies
Group
Shosha
Sogo
Merger
Cotton
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 Sojitz, one of the stronger structural bridges in this analysis connects Sojitz with ADV Films acquisition. 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.
Sojitz
Nodes117
Edges116
Triples105
Avg. degree1.98
Density0.017094
Components1
Source & methodology
TTTA analyzes the structure around Sojitz to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
