Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
CompUSA: History, Products, Art & Technology
CompUSA was an American retailer and reseller of personal computers, consumer electronics, technology products and computer services. Starting with one brick-and-mortar store in 1986 under the name Soft Warehouse, by the 1990s CompUSA had grown into a nationwide big box chain. At its peak, it operated at least 229 locations. Crushed by competition from…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
CompUSA topic overview
The analysis highlights History, Products, Art and Technology as prominent areas in the source structure around CompUSA.
Related topics
42
Source areas
3
Connected nodes
45
Extracted relationships
130
Concept neighborhoods
20
Bridge connections
45
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 · 27 topics
Overview · 11 topics
Closings and sale to Systemax · 4 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
1984; 42 years ago (1984) (as Soft Warehouse) Addison, Texas, U.S. 2018; 8 years ago (2018) (as CompUSA.com)
Industry
Retail
Headquarters
Miami, Florida
Defunct
2008 (2008) (original), 2012 (Tiger Direct relaunch), 2023 (2018 relaunch)
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 CompUSA 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 CompUSA shows recurring relationship patterns in the source. For example, CompUSA → Acquired Good Guys, Acquired Tandy's Computer City, Addison, All, Announced, Apple Computer, AT, Atlanta, Became, Began, Belt Line Road, Best Buy's, By January, California, CEO, CEO Nathan, CEO Roman Ross, Closed, CompUSA Call Center Services, CompUSA Network Another extracted example is CompUSA → Addison, Atlanta, Dallas, Errol Jacobson, Founded, Georgia, In, Mike Henochowicz, Morton, Morton's, Nathan, New York Stock Exchange, Soft Warehouse, Texas, While. Use these groups to spot repeated connection types before inspecting the individual relationships.
CompUSA
Top relations
related to Timeline· 81
CompUSA → Acquired Good Guys, Acquired Tandy's Computer City, Addison, All, Announced, Apple Computer, AT, Atlanta, Became, Began, Belt Line Road, Best Buy's, By January, California, CEO, CEO Nathan, CEO Roman Ross, Closed, CompUSA Call Center Services, CompUSA Network
related to history· 15
CompUSA → Addison, Atlanta, Dallas, Errol Jacobson, Founded, Georgia, In, Mike Henochowicz, Morton, Morton's, Nathan, New York Stock Exchange, Soft Warehouse, Texas, While
related to Closings and sale to Systemax· 12
CompUSA → Best Buy, Circuit City, During, February, Fry's Electronics, Gordon Brothers, Liquidation, May, Micro Center, On, The, This
related to Further reading· 9
CompUSA → David Pogue, FundingUniverse, History, Inc, March, Retail, Retailing Concept, The Gutting, The New York Times
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 130 structured relationships around CompUSA. Examples in this analysis include CompUSA → Defunct → 2008 (2008) (original), 2012 (Tiger Direct relaunch), 2023 (2018 relaunch) and CompUSA → Fate → Absorbed into TigerDirect (original). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
CompUSA
Defunct
2008 (2008) (original), 2012 (Tiger Direct relaunch), 2023 (2018 relaunch)
1.00
infobox
CompUSA
Fate
Absorbed into TigerDirect (original)
1.00
infobox
CompUSA
Founded
1984; 42 years ago (1984) (as Soft Warehouse) Addison, Texas, U.S. 2018; 8 years ago (2018) (as CompUSA.com)
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 CompUSA bring nearby vocabulary together. In this analysis, examples include Systemax, Retail and Stores. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
CompUSA
Systemax
Retail
Stores
Announced
Company
Brand
Com
Sales
Name
New
Texas
Services
compusa
Systemax
Retail
Stores
Announced
Company
Brand
Com
Sales
Name
New
Texas
Services
addison, texas
Texas
Soft
Warehouse
Com
Florida
First
Equity
Specialty
Name
Systemax
Website
New
compusa.com
Texas
Systemax
Equity
Florida
Specialty
Website
New
Retail
Stores
Announced
Company
Miami
computer city
Tigerdirect
Electronics
Announced
City
Computer
Systemax
Remaining
Services
Compusa
Brand
Closing
Website
consumer electronics
Circuit
City
Miami
Addison
Tigerdirect
Closing
Com
Equity
Florida
Group
Specialty
New
systemax
Brand
Texas
Announced
Addison
Tigerdirect
Com
Florida
Website
Company
Warehouse
Equity
Specialty
fry's electronics
Circuit
City
Miami
Addison
Tigerdirect
Closing
Com
Equity
Florida
Group
Specialty
New
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 CompUSA, one of the stronger structural bridges in this analysis connects CompUSA 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.
Min side: 3
CompUSA — History· splits 18 ⟂ 28CompUSA — Overview· splits 34 ⟂ 12CompUSA — Closings and sale to Systemax· splits 41 ⟂ 5
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
CompUSA
Nodes46
Edges45
Triples130
Avg. degree1.96
Density0.043478
Components1
Source & methodology
TTTA analyzes the structure around CompUSA to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
