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Neustar: History, Companies & Technology
Neustar, Inc. is an American technology company that provides real-time information and analytics for risk, digital performance, defense, telecommunications, entertainment, and marketing industries, and also provides clearinghouse and directory services to the global communications and Internet industries. Neustar was the domain name registry for a…
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Neustar topic overview
The analysis highlights History, Companies and Technology as prominent areas in the source structure around Neustar. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
47
Source areas
3
Connected nodes
51
Extracted relationships
56
Concept neighborhoods
27
Bridge connections
51
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 · 18 topics
Overview · 17 topics
Business · 13 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
1998; 28 years ago (1998)
Industry
Telecommunications
Headquarters
Sterling, Virginia, United States
Employees
1,800 (2012)
Key people
Charles E. Gottdiener (CEO)
Net income
US$160,823,000 (2011)
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 Neustar 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 Neustar shows recurring relationship patterns in the source. For example, Neustar → Aggregate Knowledge, Chief Operating Officer, CO Internet, Delaware, Followap, Hollywood, Hook's, In, In January, In November, Inc, It, Lisa Hook, Lockheed Martin Corporation, Over, TARGUSInfo, The Washington Post, This, UK-based, UltraViolet Another extracted example is Neustar → Before, China's, CSPs, DDoS, DNS, Domain, From, Godaddy, Internet, ISPs, North America, North American Numbering Plan, Taiwan's, This, Top Level Domain, VoIP. Use these groups to spot repeated connection types before inspecting the individual relationships.
Neustar
Top relations
related to history· 20
Neustar → Aggregate Knowledge, Chief Operating Officer, CO Internet, Delaware, Followap, Hollywood, Hook's, In, In January, In November, Inc, It, Lisa Hook, Lockheed Martin Corporation, Over, TARGUSInfo, The Washington Post, This, UK-based, UltraViolet
related to Business· 16
Neustar → Before, China's, CSPs, DDoS, DNS, Domain, From, Godaddy, Internet, ISPs, North America, North American Numbering Plan, Taiwan's, This, Top Level Domain, VoIP
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 56 structured relationships around Neustar. Examples in this analysis include Neustar → ASN → .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r… and Neustar → Employees → 1,800 (2012). The table shows each extracted connection, where it came from and its confidence.
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 Neustar bring nearby vocabulary together. In this analysis, examples include Services, Internet and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Neustar
Services
Internet
Also
System
Business
Co
Companies
Digital
Including
Number
Plan
Technology
neustar
Services
Internet
Also
System
Business
Co
Companies
Digital
Including
Number
Plan
Technology
internet service providers
Service
Including
Co
Godaddy
Name
Neustar
Domain
Us
Services
Registry
Network
Npac
national internet exchange of india
Including
Co
Godaddy
Name
Neustar
Domain
Us
Services
Registry
Behalf
States
United
domain name system
Name
Godaddy
Registry
Co
Behalf
Internet
States
United
Including
Number
End
Services
transaction network services
Service
Network
Services
Domain
Mobile
Providers
Bought
Registry
Messaging
Co
End
Including
domain name registry
Name
Godaddy
Registry
Co
Us
Behalf
Internet
States
United
Including
Number
End
.us
Godaddy
Registry
Internet
Behalf
States
Transunion
United
Billion
Co
Including
Name
Npac
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 Neustar, one of the stronger structural bridges in this analysis connects Neustar 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.
Neustar
Nodes52
Edges51
Triples56
Avg. degree1.96
Density0.038462
Components1
Source & methodology
TTTA analyzes the structure around Neustar to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
