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InterNIC: Works & Companies
InterNIC, known as the Network Information Center (NIC) until 1993, was the organization primarily responsible for Domain Name System (DNS) domain name allocations and X.500 directory services. From its inception in 1972 until October 1, 1991, it was run by the Stanford Research Institute, now known as SRI International, and led by Jake Feinler. From…
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InterNIC topic overview
The analysis highlights Works and Companies as prominent areas in the source structure around InterNIC.
Related topics
51
Source areas
4
Connected nodes
55
Extracted relationships
49
Concept neighborhoods
23
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.
SRI · 21 topics
Overview · 12 topics
Network Solutions · 11 topics
Transfer to ARIN and ICANN · 7 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.
Dissolved
September 18, 1998
Focus
Manage Internet protocol numbers and Domain Name System root
Formation
1972
Formerly called
Network Information Center (NIC)
Founder
Elizabeth J. Feinler
Parent organization
Stanford Research Institute (until 1991) Network Solutions (from 1991)
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 InterNIC 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 InterNIC shows recurring relationship patterns in the source. For example, InterNIC → About, April, Archived, August, Computer History Museum, Elizabeth, Feinler, Fleur Klijnsma, Frode Hegland, Interview, Invisible Revolution Web, Jake, Jake Feinler, London, Marc Weber, Oral History, PDF, Reference, Retrieved April, September Another extracted example is InterNIC → American Registry, ARIN, ASN, At, Database, December, DNS, Internet IP, Internet Numbers, March, National Science Foundation, Network Solutions, NSF, The InterNIC, The InterNIC Directory. Use these groups to spot repeated connection types before inspecting the individual relationships.
InterNIC
Top relations
related to Further reading· 22
InterNIC → About, April, Archived, August, Computer History Museum, Elizabeth, Feinler, Fleur Klijnsma, Frode Hegland, Interview, Invisible Revolution Web, Jake, Jake Feinler, London, Marc Weber, Oral History, PDF, Reference, Retrieved April, September
related to Transfer to ARIN and ICANN· 15
InterNIC → American Registry, ARIN, ASN, At, Database, December, DNS, Internet IP, Internet Numbers, March, National Science Foundation, Network Solutions, NSF, The InterNIC, The InterNIC Directory
related to In popular culture· 3
InterNIC → Hacker Elite, In Uplink, It
Dissolved· 1
InterNIC → September 18, 1998
Focus· 1
InterNIC → Manage Internet protocol numbers and Domain Name System root
Formation· 1
InterNIC → 1972
Formerly called· 1
InterNIC → Network Information Center (NIC)
Founder· 1
InterNIC → Elizabeth J. Feinler
Parent organization· 1
InterNIC → Stanford Research Institute (until 1991) Network Solutions (from 1991)
Successor· 1
InterNIC → ICANN ARIN
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.
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 49 structured relationships around InterNIC. Examples in this analysis include InterNIC → Dissolved → September 18, 1998 and InterNIC → Focus → Manage Internet protocol numbers and Domain Name System root. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
InterNIC
Dissolved
September 18, 1998
1.00
infobox
InterNIC
Focus
Manage Internet protocol numbers and Domain Name System root
1.00
infobox
InterNIC
Formation
1972
1.00
infobox
InterNIC
Formerly called
Network Information Center (NIC)
1.00
infobox
InterNIC
Founder
Elizabeth J. Feinler
1.00
infobox
InterNIC
Parent organization
Stanford Research Institute (until 1991) Network Solutions (from 1991)
1.00
infobox
InterNIC
Successor
ICANN ARIN
1.00
infobox
InterNIC
Website
internic.net
1.00
infobox
InterNIC
is a
registered service mark of the U.S
0.90
text
InterNIC
related to Further reading
About
0.60
section
InterNIC
related to Further reading
April
0.60
section
InterNIC
related to Further reading
Marc Weber
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 InterNIC bring nearby vocabulary together. In this analysis, examples include Network, Arin and Directory. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
InterNIC
Network
Arin
Directory
Services
Solutions
Internet
Information
Also
Project
System
Domain
Name
internic
Network
Arin
Directory
Services
Solutions
Internet
Information
Also
Project
System
Domain
Name
domain name system
Name
Solutions
System
Names
Network
Net
Organization
Icann
Information
Internic
Services
Website
domain name
Name
Solutions
System
Names
Network
Net
Organization
Icann
Information
Internic
Services
Website
jake feinler
Feinler
Jake
Known
Institute
Stanford
Elizabeth
Research
System
Internet
October
Run
Also
network solutions, inc.
Solutions
Names
Nic
Services
Sri
Arin
Net
Registration
Internet
Name
Organization
Run
internet corporation for assigned names and numbers
Assigned
Corporation
Numbers
Icann
Iana
Internet
Names
Network
Project
Solutions
Internic
Department
augmentation research center
Stanford
Information
Nic
Research
System
Institute
Net
Network
Organization
Known
Sri
Services
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 InterNIC, one of the stronger structural bridges in this analysis connects InterNIC with SRI. 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
InterNIC — SRI· splits 34 ⟂ 22InterNIC — Overview· splits 43 ⟂ 13InterNIC — Network Solutions· splits 44 ⟂ 12InterNIC — Transfer to ARIN and ICANN· splits 48 ⟂ 8
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
InterNIC
Nodes56
Edges55
Triples49
Avg. degree1.96
Density0.035714
Components1
Source & methodology
TTTA analyzes the structure around InterNIC to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
