Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
WNYT: Measurement, Survival on two fronts & WAST
WNYT (channel 13) is a television station licensed to Albany, New York, United States, serving the Capital District as an affiliate of NBC. It is owned by Hubbard Broadcasting alongside WNYA (channel 51), an independent station with MyNetworkTV. The two stations share studios on North Pearl Street in Menands (with an Albany postal address); WNYT's…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
WNYT topic overview
The analysis highlights Measurement, Survival on two fronts and WAST as prominent areas in the source structure around WNYT.
Related topics
168
Source areas
8
Connected nodes
176
Extracted relationships
119
Concept neighborhoods
45
Bridge connections
176
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.
Survival on two fronts · 42 topics
WNYT · 28 topics
Overview · 27 topics
WAST · 22 topics
A return to air and the FCC's big decision · 17 topics
Dark times and deintermixture · 12 topics
Notable former on-air staff · 11 topics
Technical information · 9 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
Hubbard Broadcasting · (WNYT-TV, LLC)
Affiliations
13.1: NBC · for others, see § Subchannels
Branding
NewsChannel 13
Call sign meaning
New York Television
Channels
Digital: 21 (UHF) · Virtual: 13
City
Albany, New York
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 WNYT 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 WNYT shows recurring relationship patterns in the source. For example, WNYT → Andy Lack, Arizona, Connecticut, December, FCC, Florida, Her, However, Hubbard, Hubbard Broadcasting, In, In August, In November, Jupiter Partners, Kapostasy, Kari Lake, KMOV, KSLA-TV, Lake, Lake George Another extracted example is WNYT → Albany, An, Believing, By, Changes, Chris Kapostasy, In, Live, Meanwhile, NBC, New York Television, November, Pearl Street, That November, There, This, Viacom, We're, WNYT's, WTEN. Use these groups to spot repeated connection types before inspecting the individual relationships.
WNYT
Top relations
related to Hubbard Broadcasting ownership· 50
WNYT → Andy Lack, Arizona, Connecticut, December, FCC, Florida, Her, However, Hubbard, Hubbard Broadcasting, In, In August, In November, Jupiter Partners, Kapostasy, Kari Lake, KMOV, KSLA-TV, Lake, Lake George
related to From third place to second· 20
WNYT → Albany, An, Believing, By, Changes, Chris Kapostasy, In, Live, Meanwhile, NBC, New York Television, November, Pearl Street, That November, There, This, Viacom, We're, WNYT's, WTEN
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 119 structured relationships around WNYT. Examples in this analysis include WNYT → Affiliations → 13.1: NBC and WNYT → Affiliations → for others, see § Subchannels. 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 WNYT bring nearby vocabulary together. In this analysis, examples include News, Hubbard and Wnya. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
WNYT
News
Hubbard
Wnya
York
Wrgb
Broadcasting
Nbc
Transmitter
Local
Two
Stations
Affiliate
wnyt
News
Hubbard
Wnya
York
Wrgb
Broadcasting
Nbc
Transmitter
Local
Two
Stations
Affiliate
television station
Stations
District
Uhf
Capital
Fcc
Vhf
Wnyt
Channels
Local
Albany
News
Broadcasting
albany, new york
New
York
Schenectady
Troy
Channel
Fcc
Two
Station
Stations
Wast
Abc
Channels
capital district
District
Channel
Television
Uhf
Vhf
Fcc
Wrgb
Area
Wtri
Schenectady
Troy
Affiliate
nbc
Wrgb
Affiliation
Cbs
Wast
Time
Hubbard
York
New
Wnyt
Television
News
Wnya
hubbard broadcasting
Wnya
Schenectady
Troy
Wnyt
Two
Station
Channel
Stations
Television
Wast
Area
Fcc
independent station
Local
Albany
News
Broadcasting
New
Schenectady
Cbs
Wrow-tv
Affiliation
Capital
Television
Wast
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 WNYT, one of the stronger structural bridges in this analysis connects WNYT with Survival on two fronts. 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
WNYT — Survival on two fronts· splits 134 ⟂ 43WNYT — WNYT· splits 148 ⟂ 29WNYT — Overview· splits 149 ⟂ 28WNYT — WAST· splits 154 ⟂ 23WNYT — A return to air and the FCC's big decision· splits 159 ⟂ 18WNYT — Dark times and deintermixture· splits 164 ⟂ 13WNYT — Notable former on-air staff· splits 165 ⟂ 12WNYT — Technical information· splits 167 ⟂ 10
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
WNYT
Nodes177
Edges176
Triples119
Avg. degree1.99
Density0.011299
Components1
Source & methodology
TTTA analyzes the structure around WNYT to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Measurement, Survival on two fronts & WAST, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WNYT · EN edition · Analysis: TopicsToTalkAbout
For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.
