Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
KNDD: History & Measurement
KNDD (107.7 FM, "107.7 The End") is a commercial radio station in Seattle, Washington. It is owned by Audacy, Inc. and airs an alternative rock radio format. Its studios are located on Fifth Avenue in Downtown Seattle. The station broadcasts with an effective radiated power (ERP) of 68,000 watts. It transmits from a tower 707 meters (2,320 ft) in height…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
KNDD topic overview
The analysis highlights History and Measurement as prominent areas in the source structure around KNDD.
Related topics
110
Source areas
4
Connected nodes
114
Extracted relationships
112
Concept neighborhoods
31
Bridge connections
114
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 · 88 topics
Overview · 19 topics
Former DJs · 2 topics
Discontinued Programs · 1 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
Audacy, Inc. · (Audacy License, LLC)
Branding
107.7 The End
Broadcast area
Seattle metro area, Puget Sound
Call sign meaning
"The End"
Class
C
ERP
68,000 watts
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 KNDD 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 KNDD shows recurring relationship patterns in the source. For example, KNDD → And, At, August, Badmotorfinger, Berlin, Feel Fine, I'm, It, It's The End, June, KJET AM, KMGI, Know It, KXPA, KYYX FM, KZAM AM, Nevermind, Nirvana, Other, Pearl Jam Another extracted example is KNDD → Channel, Downtown Seattle, EDM, Entercom HD, Entercom's, FM, Hosts, Houston, In January, Jai Rodriguez, John Duran, Julie Goldman, K277AE, KHTP, KNDD's HD2, LGBTQ, Los Angeles, Pacific Northwest, Phoenix, Sacramento. Use these groups to spot repeated connection types before inspecting the individual relationships.
KNDD
Top relations
related to "The End" debuts· 39
KNDD → And, At, August, Badmotorfinger, Berlin, Feel Fine, I'm, It, It's The End, June, KJET AM, KMGI, Know It, KXPA, KYYX FM, KZAM AM, Nevermind, Nirvana, Other, Pearl Jam
related to KNDD-HD2 Channel Q· 22
KNDD → Channel, Downtown Seattle, EDM, Entercom HD, Entercom's, FM, Hosts, Houston, In January, Jai Rodriguez, John Duran, Julie Goldman, K277AE, KHTP, KNDD's HD2, LGBTQ, Los Angeles, Pacific Northwest, Phoenix, Sacramento
related to Alternative rivals· 15
KNDD → AC, CBS Radio, In, K-Rock, KJAQ, KLCK, KRQI, KRQI's, KYPT, March, On December, Sandusky's KLCK-FM, Shortly, The, The Point
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 KNDD. Examples in this analysis include KNDD → Branding → 107.7 The End and KNDD → Broadcast area → Seattle metro area, Puget Sound. 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 KNDD bring nearby vocabulary together. In this analysis, examples include Show, Seattle and Director. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
KNDD
Show
Seattle
Director
Program
Washington
Would
Radio
Hd
Rock
Station
Host
Lazlo
kndd
Show
Seattle
Director
Program
Washington
Would
Radio
Hd
Rock
Station
Host
Lazlo
fm
K277ae
Seattle
Translator
Channel
Krab
Washington
Also
Format
Radio
Airs
Kndd
Hd2
radio station
Broadcast
Krab
Washington
Alternative
Inc
Rock
Station
Seattle
Audacy
Format
Show
First
seattle, washington
K277ae
Translator
Krab
Hd2
Channel
Radio
Seattle
Washington
Angeles
Los
Format
Fm
audacy, inc.
Inc
Format
Hd2
Kmgi
Translator
Hd
Krab
Radio
Alternative
End
Rock
Stations
alternative rock
Rock
Stations
Radio
Station
Audacy
Director
Program
Format
Inc
Would
Seattle
Kndd
radio format
Hd2
Channel
Inc
Broadcast
Krab
Washington
Alternative
Kmgi
Translator
Seattle
Known
Station
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 KNDD, one of the stronger structural bridges in this analysis connects KNDD 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.
KNDD
Nodes115
Edges114
Triples112
Avg. degree1.98
Density0.017391
Components1
Source & methodology
TTTA analyzes the structure around KNDD 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 — KNDD · EN edition · Analysis: TopicsToTalkAbout
For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.
