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WPXT: History & Measurement
WPXT (channel 51) is a television station in Portland, Maine, United States, affiliated with The CW. It is owned by Hearst Television alongside ABC affiliate WMTW (channel 8). The two stations share studios on Ledgeview Drive in Westbrook; WPXT's transmitter is located in West Baldwin, Maine.
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WPXT topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around WPXT.
Related topics
73
Source areas
4
Connected nodes
77
Extracted relationships
122
Concept neighborhoods
28
Bridge connections
77
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 · 43 topics
News operation · 20 topics
Overview · 8 topics
Subchannels · 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.
Founded
August 22, 1983
Owner
Hearst Television · (Hearst Properties Inc.)
Affiliations
51.1: The CW · 51.2: H&I/MNTV · for others, see § Subchannels
Branding
Maine's CW
Call sign meaning
"We're Portland's Exciting Television"
Channels
Digital: 34 (UHF) · Virtual: 51
Suggested research paths
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 WPXT 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 WPXT shows recurring relationship patterns in the source. For example, WPXT → After, As, Bangor, CBS, Congress Square, February, Fox, Gannett Company, However, Maine's, Maine's WB, Mount Hope Avenue, NBC, NBC Weather Plus, NewsCenter, October, On, On November, Portland, Portland/Auburn Another extracted example is WPXT → After, April, Bangor, Boston, Bride Communications, Fox, Fox's, Foxnet, In, Jackson, Maine, Maine's, Mississippi, New Hampshire, October, On October, Pegasus, Pegasus Broadcasting, Portland, Portland's Pax TV. Use these groups to spot repeated connection types before inspecting the individual relationships.
WPXT
Top relations
related to News Center at 10· 35
WPXT → After, As, Bangor, CBS, Congress Square, February, Fox, Gannett Company, However, Maine's, Maine's WB, Mount Hope Avenue, NBC, NBC Weather Plus, NewsCenter, October, On, On November, Portland, Portland/Auburn
related to history· 31
WPXT → After, April, Bangor, Boston, Bride Communications, Fox, Fox's, Foxnet, In, Jackson, Maine, Maine's, Mississippi, New Hampshire, October, On October, Pegasus, Pegasus Broadcasting, Portland, Portland's Pax TV
related to Early in-house newscasts· 20
WPXT → ABC, Bush, Edward, Erin Fehlau, Fehlau, For, Fox, George, In, June, Murrow Award, National Clarion Award, News, Our Maine News, Presidential, Republican, The, WMUR-TV, WPME, WPXT's
related to News 8 on Maine's CW· 9
WPXT → ABC's, August, Following WPXT's, Hearst Television, September, The WPXT Saturday, WMTW's, WMTW-produced, WMTW-produced Saturday
Affiliations· 3
WPXT → 51.1: The CW, 51.2: H&I/MNTV, for others, see § Subchannels
Former affiliations· 3
WPXT → Fox (October 1986–2001), Independent (September–October 1986), The WB (2001–2006)
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 122 structured relationships around WPXT. Examples in this analysis include WPXT → Affiliations → 51.1: The CW and WPXT → Affiliations → 51.2: H&I/MNTV. 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 WPXT bring nearby vocabulary together. In this analysis, examples include Wpxt's, Hearst and Wmtw. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
television station
Hearst
Wmtw
Announced
Sister
Cw
Abc
Station
Subchannels
Television
Wpme
September
Time
portland, maine
Cw
Fox
News
Market
Operation
Affiliation
Bangor
New
Television
Wpxt's
Station
Maine
the cw
Portland
Television
September
Affiliation
Maine's
Announced
Maine
New
Wb
Would
Wpxt's
News
hearst television
Hearst
Television
Wmtw
Abc
Announced
Market
September
Cw
Station
Subchannels
Maine
Wb
west baldwin, maine
Fox
Market
Operation
Affiliation
Bangor
Cw
New
Television
Wpxt's
Portland
News
Subchannels
independent station
Sister
Television
Wpme
Time
Market
Hearst
Portland
Subchannels
September
Maine's
October
Show
commercial station
Sister
Television
Wpme
Time
Market
Hearst
Portland
Subchannels
September
Maine's
October
Show
fox
October
Maine
News
Operation
Affiliation
Wb
Wpxt
Subchannels
Fcc
Market
September
Agreement
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 WPXT, one of the stronger structural bridges in this analysis connects WPXT 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.
WPXT
Nodes78
Edges77
Triples122
Avg. degree1.97
Density0.025641
Components1
Source & methodology
TTTA analyzes the structure around WPXT to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — WPXT · EN edition · Analysis: TopicsToTalkAbout
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