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PSINet: History, Companies & Regions
PSINet, formerly Performance Systems International, was an American internet service provider based in Ashburn, Virginia. As one of the first commercial Internet service providers (ISPs), it was involved in the commercialization of the Internet until the company's bankruptcy in 2001 during the dot-com bubble and subsequent acquisition by Cogent…
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PSINet topic overview
The analysis highlights History, Companies and Regions as prominent areas in the source structure around PSINet.
Related topics
44
Source areas
2
Connected nodes
46
Extracted relationships
98
Concept neighborhoods
16
Bridge connections
46
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 · 38 topics
Overview · 6 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
1989; 37 years ago (1989), in Ashburn, Virginia, United States
Industry
Telecommunication
Headquarters
Ashburn, Virginia, United States
Defunct
April 2002; 24 years ago (2002-04)
Fate
Acquired by Cogent Communications
Founder
William Schrader Martin Schoffstall
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 PSINet 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 PSINet shows recurring relationship patterns in the source. For example, PSINet → AlterNet, As, By, CEO Schrader, CERFnet, CIX, Co-founder Schoffstall, Commercial Internet, Congressional, December, Europe, For, General Atomics, Hitler Youth, In, Interactive Week, Internet, Internet Service Providers, ISP, January Another extracted example is PSINet → An, Another, Canada, Despite, GMO, However, Inter, Internet, It, Its, Japan, Many, March, MCI, Metamor, Saugus, ShellTown, Some, Switzerland, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
PSINet
Top relations
related to Growth· 28
PSINet → AlterNet, As, By, CEO Schrader, CERFnet, CIX, Co-founder Schoffstall, Commercial Internet, Congressional, December, Europe, For, General Atomics, Hitler Youth, In, Interactive Week, Internet, Internet Service Providers, ISP, January
related to Collapse· 21
PSINet → An, Another, Canada, Despite, GMO, However, Inter, Internet, It, Its, Japan, Many, March, MCI, Metamor, Saugus, ShellTown, Some, Switzerland, The
related to External links· 15
PSINet → Archived, Company Operations, Industry Standard, Kate, Luck, March, May, Miller, November, PDF, PSINet Founder Runs Out, Retrieved May, TCP/IP Internetworking Tutorial, The, Vol
related to Founding· 14
PSINet → In, Internet, It, Mark Fedor, Martin, New York State, NYSERNet, Performance Systems International, Richard Mandelbaum's, Schoffstall, Schrader, Schrader's, This, William
related to Initial public offering· 7
PSINet → Amerindo, Matrix Partners, NASDAQ, On May, PSIX, Sigma Partners, US
Defunct· 1
PSINet → April 2002; 24 years ago (2002-04)
Fate· 1
PSINet → Acquired by Cogent Communications
Founded· 1
PSINet → 1989; 37 years ago (1989), in Ashburn, Virginia, United States
Founder· 1
PSINet → William Schrader Martin Schoffstall
Headquarters· 1
PSINet → Ashburn, Virginia, United States
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 98 structured relationships around PSINet. Examples in this analysis include PSINet → Defunct → April 2002; 24 years ago (2002-04) and PSINet → Fate → Acquired by Cogent Communications. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
PSINet
Defunct
April 2002; 24 years ago (2002-04)
1.00
infobox
PSINet
Fate
Acquired by Cogent Communications
1.00
infobox
PSINet
Founded
1989; 37 years ago (1989), in Ashburn, Virginia, United States
1.00
infobox
PSINet
Founder
William Schrader Martin Schoffstall
1.00
infobox
PSINet
Headquarters
Ashburn, Virginia, United States
1.00
infobox
PSINet
Industry
Telecommunication
1.00
infobox
PSINet
Traded as
Nasdaq: PSIX
1.00
infobox
PSINet
Type
Public
1.00
infobox
PSINet
Website
PSINet.com (archive)
1.00
infobox
the Department of Energy
instance of
various U.S. federal agency networks
0.80
text
NASA
instance of
various U.S. federal agency networks
0.80
text
and with grants to various regional networks including NYSERNet
instance of
various U.S. federal agency networks
0.80
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 PSINet bring nearby vocabulary together. In this analysis, examples include Acquired, Communications and Access. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
internet service providers
Commercial
Access
First
One
Service
Psinet
Commercialization
Nysernet
Including
Regional
Acquisition
Schoffstall
internet
Commercial
Access
First
One
Service
Psinet
Commercialization
Nysernet
Including
Regional
Acquisition
Schoffstall
internet engineering task force
Commercial
Access
First
One
Service
Psinet
Commercialization
Nysernet
Including
Regional
Acquisition
Schoffstall
commercial internet exchange
Commercial
Internet
Research
Service
Nsf
Access
First
Commercialization
Nsfnet
One
Psinet
Acquisition
PSINet
Acquired
Communications
Access
Cogent
Europe
Industry
Service
Schoffstall
Schrader
Commercial
Company
Founded
psinet
Acquired
Communications
Access
Cogent
Europe
Industry
Service
Schoffstall
Schrader
Commercial
Company
Founded
cogent communications
Communications
Commercialization
Acquired
Founded
First
Nasdaq
Offering
Industry
One
Psinet
Public
Service
telus communications
Acquired
Founded
First
Nasdaq
Offering
Psinet
Industry
One
Public
Service
Schoffstall
Schrader
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 PSINet, one of the stronger structural bridges in this analysis connects PSINet 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.
PSINet
Nodes47
Edges46
Triples98
Avg. degree1.96
Density0.042553
Components1
Source & methodology
TTTA analyzes the structure around PSINet to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
