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KXTV: History, Measurement & Companies
KXTV (channel 10) is a television station in Sacramento, California, United States, affiliated with ABC. It is owned by the Tegna subsidiary of Nexstar Media Group; Nexstar also owns Fox affiliate KTXL (channel 40). KXTV's studios are located on Broadway, just south of US 50 at the south edge of downtown Sacramento, and its transmitter is located in…
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KXTV topic overview
The analysis highlights History, Measurement and Companies as prominent areas in the source structure around KXTV.
Related topics
69
Source areas
4
Connected nodes
73
Extracted relationships
112
Concept neighborhoods
27
Bridge connections
73
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 · 41 topics
Overview · 15 topics
Programming · 7 topics
Technical information and subchannels · 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.
Owner
Tegna Inc., a subsidiary of Nexstar Media Group · (KXTV, LLC)
Affiliations
10.1: ABC · for others, see § Technical information and subchannels
Branding
ABC 10; ABC 10 News
Call sign meaning
X represents the number 10 in Roman numerals
Channels
Digital: 10 (VHF) · Virtual: 10
City
Sacramento, California
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 KXTV 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 KXTV shows recurring relationship patterns in the source. For example, KXTV → ABC, As, August, Austin, Belo, Dallas-based, Gannett Company, In, July, KVUE, KXTV's, KXTV's Sacramento UHF, Land Park, LED, News10 Weather Tower, October, Sacramento, Sacramento Kings, Sacramento Monarchs, Texas Another extracted example is KXTV → AFTRA, American Federation, April, Corinthian, Corinthian Broadcasting, Great Western Broadcasting Corporation, In, In November, KBET-TV, KCRA-TV, KOVR, NABET, National Labor Relations Board, New York City, Radio Artists, Sacramento Telecasters, September, Television, The, This. Use these groups to spot repeated connection types before inspecting the individual relationships.
KXTV
Top relations
related to Gannett/Tegna ownership· 23
KXTV → ABC, As, August, Austin, Belo, Dallas-based, Gannett Company, In, July, KVUE, KXTV's, KXTV's Sacramento UHF, Land Park, LED, News10 Weather Tower, October, Sacramento, Sacramento Kings, Sacramento Monarchs, Texas
related to Corinthian ownership· 21
KXTV → AFTRA, American Federation, April, Corinthian, Corinthian Broadcasting, Great Western Broadcasting Corporation, In, In November, KBET-TV, KCRA-TV, KOVR, NABET, National Labor Relations Board, New York City, Radio Artists, Sacramento Telecasters, September, Television, The, This
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 112 structured relationships around KXTV. Examples in this analysis include KXTV → Affiliations → 10.1: ABC and KXTV → Affiliations → for others, see § Technical information and subchannels. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
KXTV
Affiliations
10.1: ABC
1.00
infobox
KXTV
Affiliations
for others, see § Technical information and subchannels
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 KXTV bring nearby vocabulary together. In this analysis, examples include Abc, News and Sacramento. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
KXTV
Abc
News
Sacramento
Early
Digital
Belo
Station
Cbs
Second
Ratings
Corinthian
Two
kxtv
Abc
News
Sacramento
Early
Digital
Belo
Station
Cbs
Second
Ratings
Corinthian
Two
television station
Second
News
Would
First
Local
Ratings
Television
Cbs
Vhf
Sacramento
Announced
Belo
sacramento, california
Telecasters
Mcclatchy
Studios
Nexstar
Stations
Abc
Broadcasting
Media
Owner
Fcc
Group
Station
abc
Cbs
Kxtv
Belo
Vhf
Media
Owner
Channel
Company
Digital
Nexstar
Group
Two
nexstar media group
Ktxl
Media
Nexstar
Owner
Tegna
Group
Vhf
Corinthian
Digital
Fcc
Stations
Announced
downtown sacramento
Telecasters
Mcclatchy
Stations
Broadcasting
Media
Owner
Nexstar
Fcc
Group
Tower
Ktxl
Tegna
mcclatchy broadcasting company
Telecasters
New
Sacramento
Digital
Transmitter
October
Stations
Channel
Would
Television
Fcc
Group
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 KXTV, one of the stronger structural bridges in this analysis connects KXTV 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.
KXTV
Nodes74
Edges73
Triples112
Avg. degree1.97
Density0.027027
Components1
Source & methodology
TTTA analyzes the structure around KXTV to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — KXTV · EN edition · Analysis: TopicsToTalkAbout
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