Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
BuddyTV: History, Art & Companies
BuddyTV is an entertainment-based website, which generates content about television programs and sporting events. The website publishes information about celebrity and related entertainment news through a series of articles, entertainment profiles, actor biographies and user forums. On 31 December 2014, Smart TV manufacturer VIZIO acquired BuddyTV's…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
BuddyTV topic overview
The analysis highlights History, Art and Companies as prominent areas in the source structure around BuddyTV.
Related topics
25
Source areas
4
Connected nodes
29
Extracted relationships
55
Concept neighborhoods
12
Bridge connections
29
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 · 14 topics
Overview · 6 topics
Business model · 3 topics
Impact · 2 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.
Owner
Aprospectus LLC
Created by
Various contributors
Current status
Online
Launched
July 31, 2007
URL
www.buddytv.com
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 BuddyTV 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 BuddyTV shows recurring relationship patterns in the source. For example, BuddyTV → Andy Liu, Business Administration, Charles River Quick Start, Comcast, David Niu, Funding, Gemstar-TV Guide International, However, In, In April, In May, In September, Internet, Madrona Venture Group, Master, NetConversions, Niu, Pennsylvania, Seed Funding Program, The Another extracted example is BuddyTV → Buddy TV, BuddyTV's, BuddyTV's Neal Freeland, CEO, Flixster, Flixster Inc, For, In, In June, Joe Greenstein, QuestionPro, Rotten Tomatoes, The, This, We, Windows Media Center. Use these groups to spot repeated connection types before inspecting the individual relationships.
BuddyTV
Top relations
related to history· 23
BuddyTV → Andy Liu, Business Administration, Charles River Quick Start, Comcast, David Niu, Funding, Gemstar-TV Guide International, However, In, In April, In May, In September, Internet, Madrona Venture Group, Master, NetConversions, Niu, Pennsylvania, Seed Funding Program, The
related to Business model· 16
BuddyTV → Buddy TV, BuddyTV's, BuddyTV's Neal Freeland, CEO, Flixster, Flixster Inc, For, In, In June, Joe Greenstein, QuestionPro, Rotten Tomatoes, The, This, We, Windows Media Center
has impact· 10
BuddyTV → April, Business Wire, Co-founder Liu, In, In March, Seattle, Seattle Post-Intelligencer, The, TV, Web's
Created by· 1
BuddyTV → Various contributors
Current status· 1
BuddyTV → Online
Launched· 1
BuddyTV → July 31, 2007
Owner· 1
BuddyTV → Aprospectus LLC
URL· 1
BuddyTV → www.buddytv.com
is a· 1
BuddyTV → entertainment-based website
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 55 structured relationships around BuddyTV. Examples in this analysis include BuddyTV → Created by → Various contributors and BuddyTV → Current status → Online. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
BuddyTV
Created by
Various contributors
1.00
infobox
BuddyTV
Current status
Online
1.00
infobox
BuddyTV
Launched
July 31, 2007
1.00
infobox
BuddyTV
Owner
Aprospectus LLC
1.00
infobox
BuddyTV
URL
www.buddytv.com
1.00
infobox
BuddyTV
is a
entertainment-based website
0.90
text
BuddyTV
has impact
In
0.60
section
BuddyTV
has impact
Business Wire
0.60
section
BuddyTV
has impact
Web's
0.60
section
BuddyTV
has impact
The
0.60
section
BuddyTV
has impact
Seattle Post-Intelligencer
0.60
section
BuddyTV
has impact
Co-founder Liu
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 BuddyTV bring nearby vocabulary together. In this analysis, examples include Online, Television and Mobile. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
BuddyTV
Online
Television
Mobile
Liu
Said
Million
Site
Website
Entertainment-based
Partnership
App
Business
buddytv
Online
Television
Mobile
Liu
Said
Million
Site
Website
Entertainment-based
Partnership
App
Business
smart tv
Manufacturer
Parent
Research
Vizio
Group
Inc
Media
Tv
Liu
New
App
Company
television
Said
Series
Liu
New
Tv
Online
Website
App
Commentary
Company
Information
Mobile
television without pity
Said
Series
Liu
New
Tv
Online
Website
App
Commentary
Company
Information
Mobile
website
Commentary
Information
Series
Content
Seattle
Buddytv
Television
Entertainment-based
Forums
Partnership
May
Media
vizio
December
Manufacturer
Parent
Research
Smart
Acquired
Advanced
Group
Inc
Media
Buddytv's
Tv
windows media center
Parent
Research
Smart
Vizio
Group
Inc
Tv
Partnership
Commentary
Website
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 BuddyTV, one of the stronger structural bridges in this analysis connects BuddyTV 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.
BuddyTV
Nodes30
Edges29
Triples55
Avg. degree1.93
Density0.066667
Components1
Source & methodology
TTTA analyzes the structure around BuddyTV to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
