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Control Data Corporation: Companies, Peripherals business & Background
Control Data Corporation (CDC) was a mainframe and supercomputer company that in the 1960s was one of the nine major U.S. computer companies, a group which included IBM, Burroughs Corporation, Digital Equipment Corporation (DEC), NCR Corporation (NCR), General Electric, Honeywell, RCA, and UNIVAC.
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Control Data Corporation topic overview
The analysis highlights Companies, Peripherals business and Background as prominent areas in the source structure around Control Data Corporation. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
202
Source areas
14
Connected nodes
217
Extracted relationships
85
Concept neighborhoods
70
Bridge connections
217
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.
Background · 29 topics
CDC 6600 · 24 topics
Peripherals business · 21 topics
End of CDC · 20 topics
Investments · 17 topics
Film and science fiction references · 15 topics
Magnetic Peripherals Inc. · 14 topics
Overview · 14 topics
Cyber product lines · 11 topics
STAR-100 · 11 topics
CDC 1604 · 9 topics
CDC 7600 and 8600 · 7 topics
Timeline of systems releases · 6 topics
Birth of Control Data Corporation · 5 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
1957; 69 years ago (1957)
Industry
Supercomputing
Headquarters
Bloomington, Minnesota, U.S.
Defunct
1999 (1999)
Fate
Broken up
Key people
Seymour Cray, William Norris
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 Control Data Corporation 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 Control Data Corporation shows recurring relationship patterns in the source. For example, Control Data Corporation → Bill Bhend, CDC, CDC CDC, CDC STAR-100, CDCby Sandy WeillInformation, CDCCDC User Manuals Library, CDD, Ceridian Corporation, Charles Babbage Institute, Chuck Hawley, Commercial Credit, Computer, Computing HistoryComputing, Control Data Corporation Records, Cray, Curt Alexander, Dave Resnick, Dennis Grinna, Discussion, Dolan Toth Another extracted example is Control Data Corporation → CDC, Cray, ERA, Howard Shekel, However, In, Keye, M-460 Naval Tactical Data, Minneapolis, Mississippi River, Norris, NTDS, Robert Kisch, Robert Perkins, Sperry Rand, System, The, They, William. Use these groups to spot repeated connection types before inspecting the individual relationships.
Control Data Corporation
Top relations
related to External links· 55
Control Data Corporation → Bill Bhend, CDC, CDC CDC, CDC STAR-100, CDCby Sandy WeillInformation, CDCCDC User Manuals Library, CDD, Ceridian Corporation, Charles Babbage Institute, Chuck Hawley, Commercial Credit, Computer, Computing HistoryComputing, Control Data Corporation Records, Cray, Curt Alexander, Dave Resnick, Dennis Grinna, Discussion, Dolan Toth
related to Birth of Control Data Corporation· 19
Control Data Corporation → CDC, Cray, ERA, Howard Shekel, However, In, Keye, M-460 Naval Tactical Data, Minneapolis, Mississippi River, Norris, NTDS, Robert Kisch, Robert Perkins, Sperry Rand, System, The, They, William
Defunct· 1
Control Data Corporation → 1999 (1999)
Fate· 1
Control Data Corporation → Broken up
Founded· 1
Control Data Corporation → 1957; 69 years ago (1957)
Headquarters· 1
Control Data Corporation → Bloomington, Minnesota, U.S.
Industry· 1
Control Data Corporation → Supercomputing
Key people· 1
Control Data Corporation → Seymour Cray, William Norris
Successor· 1
Control Data Corporation → Ceridian (later Dayforce, Inc.)
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.
Control Data Corporation 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 85 structured relationships around Control Data Corporation. Examples in this analysis include Control Data Corporation → Defunct → 1999 (1999) and Control Data Corporation → Fate → Broken up. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Control Data Corporation
Defunct
1999 (1999)
1.00
infobox
Control Data Corporation
Fate
Broken up
1.00
infobox
Control Data Corporation
Founded
1957; 69 years ago (1957)
1.00
infobox
Control Data Corporation
Headquarters
Bloomington, Minnesota, U.S.
1.00
infobox
Control Data Corporation
Industry
Supercomputing
1.00
infobox
Control Data Corporation
Key people
Seymour Cray, William Norris
1.00
infobox
Control Data Corporation
Successor
Ceridian (later Dayforce, Inc.)
1.00
infobox
Micropolis
instance of
the Wren was behind the capacity growth and performance curves of numerous startups
0.80
text
Atasi
instance of
the Wren was behind the capacity growth and performance curves of numerous startups
0.80
text
Maxtor
instance of
the Wren was behind the capacity growth and performance curves of numerous startups
0.80
text
and Quantum
instance of
the Wren was behind the capacity growth and performance curves of numerous startups
0.80
text
Control Data Corporation
related to Birth of Control Data Corporation
In
0.60
section
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 Control Data Corporation bring nearby vocabulary together. In this analysis, examples include Data, Corporation and Systems. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Control Data Corporation
Data
Corporation
Systems
Ceridian
Inc
Companies
Business
Minnesota
Rand
Ibm
One
Computer
control data corporation
Data
Inc
Corporation
Systems
Ceridian
Rand
Could
Companies
Univac
Ibm
One
Business
computer
Companies
Mainframe
Univac
Era
Corporation
Design
Rand
Control
Business
Supercomputer
Could
Inc
burroughs corporation
Inc
Data
Ceridian
Systems
Rand
Univac
Ibm
Ticketron
Minnesota
One
Era
Business
digital equipment corporation
Inc
Data
Ceridian
Systems
Rand
Univac
Ibm
Ticketron
Minnesota
One
Era
Business
ncr corporation
Inc
Data
Ceridian
Systems
Rand
Univac
Ibm
Ticketron
Minnesota
One
Era
Business
sperry corporation
Inc
Data
Ceridian
Systems
Rand
Univac
Ibm
Ticketron
Minnesota
One
Era
Business
sperry rand corporation
Univac
Inc
Era
Data
Ceridian
Systems
Rand
Ibm
Ticketron
Minnesota
One
Business
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 Control Data Corporation, one of the stronger structural bridges in this analysis connects Control Data Corporation with Background. 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
Control Data Corporation — Background· splits 188 ⟂ 30Control Data Corporation — CDC 6600· splits 193 ⟂ 25Control Data Corporation — Peripherals business· splits 196 ⟂ 22Control Data Corporation — End of CDC· splits 197 ⟂ 21Control Data Corporation — Investments· splits 200 ⟂ 18Control Data Corporation — Film and science fiction references· splits 202 ⟂ 16Control Data Corporation — Overview· splits 203 ⟂ 15Control Data Corporation — Magnetic Peripherals Inc.· splits 203 ⟂ 15Control Data Corporation — STAR-100· splits 206 ⟂ 12Control Data Corporation — Cyber product lines· splits 206 ⟂ 12Control Data Corporation — CDC 1604· splits 208 ⟂ 10Control Data Corporation — CDC 7600 and 8600· splits 210 ⟂ 8Control Data Corporation — Timeline of systems releases· splits 211 ⟂ 7Control Data Corporation — Birth of Control Data Corporation· splits 212 ⟂ 6
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Control Data Corporation
Nodes218
Edges217
Triples85
Avg. degree1.99
Density0.009174
Components1
Source & methodology
TTTA analyzes the structure around Control Data Corporation to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Peripherals business & Background, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
