Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Mood Elevator: Critical reception, Background and recording & Production
Mood Elevator is the second album by the Winder, Georgia-based singer-songwriter Jack Logan, recorded in conjunction with a group of musicians known as Liquor Cabinet. It was released on January 16, 1996, on both Medium Cool Records (a Twin/Tone imprint) and Restless Records. As of 1999, it had sold 12,000 copies.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Mood Elevator topic overview
The analysis highlights Critical reception, Background and recording and Production as prominent areas in the source structure around Mood Elevator.
Related topics
16
Source areas
4
Connected nodes
20
Extracted relationships
54
Concept neighborhoods
11
Bridge connections
20
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.
Critical reception · 6 topics
Overview · 4 topics
Background and recording · 3 topics
Production · 3 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.
Genre
Rock music
Label
Medium Cool/Restless
Length
46:31
Producers
Peter Jesperson, Kelly Keneipp
Recorded
A barn in Royal Center, Indiana, over a 10-day period
Released
January 16, 1996 (1996-01-16)
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 Mood Elevator 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 Mood Elevator shows recurring relationship patterns in the source. For example, Mood Elevator → Boston Phoenix, Bulk, Geoffrey Himes, Georgia House, He, It, James Sullivan, Just Babies, Liquor Cabinet, Logan, Logan's, March, Other, People, Representatives, Rolling Stone, SF Weekly, The Washington Post, This, Vintage Man Another extracted example is Mood Elevator → Bulk, During, Half, He, Indiana, Liquor Cabinet, Logan, Mood Elevator's, Peter Buck, Peter Jesperson, Replacements, Royal Center, These, This, Twin/Tone Records, Unlike Logan's, With. Use these groups to spot repeated connection types before inspecting the individual relationships.
Mood Elevator
Top relations
related to Critical reception· 20
Mood Elevator → Boston Phoenix, Bulk, Geoffrey Himes, Georgia House, He, It, James Sullivan, Just Babies, Liquor Cabinet, Logan, Logan's, March, Other, People, Representatives, Rolling Stone, SF Weekly, The Washington Post, This, Vintage Man
related to background· 17
Mood Elevator → Bulk, During, Half, He, Indiana, Liquor Cabinet, Logan, Mood Elevator's, Peter Buck, Peter Jesperson, Replacements, Royal Center, These, This, Twin/Tone Records, Unlike Logan's, With
related to Production· 10
Mood Elevator → Bulk, Kelly Keneipp, Late Night With Conan, Logan, Logan's, O'Brien, Peter Jesperson, The, The Today Show, This
Genre· 1
Mood Elevator → Rock music
Label· 1
Mood Elevator → Medium Cool/Restless
Length· 1
Mood Elevator → 46:31
Producers· 1
Mood Elevator → Peter Jesperson, Kelly Keneipp
Recorded· 1
Mood Elevator → A barn in Royal Center, Indiana, over a 10-day period
Released· 1
Mood Elevator → January 16, 1996 (1996-01-16)
is a· 1
Mood Elevator → second album by the Winder
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.
Mood Elevator relationships Subject–Predicate–Object triples
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 54 structured relationships around Mood Elevator. Examples in this analysis include Mood Elevator → Genre → Rock music and Mood Elevator → Label → Medium Cool/Restless. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Mood Elevator
Genre
Rock music
1.00
infobox
Mood Elevator
Label
Medium Cool/Restless
1.00
infobox
Mood Elevator
Length
46:31
1.00
infobox
Mood Elevator
Producers
Peter Jesperson, Kelly Keneipp
1.00
infobox
Mood Elevator
Recorded
A barn in Royal Center, Indiana, over a 10-day period
1.00
infobox
Mood Elevator
Released
January 16, 1996 (1996-01-16)
1.00
infobox
Mood Elevator
is a
second album by the Winder
0.90
text
Mood Elevator
related to background
Logan
0.60
section
Mood Elevator
related to background
He
0.60
section
Mood Elevator
related to background
Peter Jesperson
0.60
section
Mood Elevator
related to background
Replacements
0.60
section
Mood Elevator
related to background
Peter Buck
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 Mood Elevator bring nearby vocabulary together. In this analysis, examples include Mood, Bulk and Songs. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Mood Elevator
Mood
Bulk
Songs
Album
Also
Recorded
Wrote
Barn
Center
Critical
Group
Indiana
mood elevator
Mood
Bulk
Songs
Also
Recorded
Album
Wrote
Barn
Center
Critical
Group
Indiana
jack logan
Songs
Cabinet
Jesperson
Liquor
Peter
Background
Group
Guitar
Kelly
Keneipp
Mood
Recorded
background and recording
Kelly
Keneipp
Jesperson
Peter
Barn
Center
Cool
Critical
Indiana
Jack
Medium
Music
critical reception
Music
One
Barn
Center
Group
Indiana
Medium
Restless
Royal
Single
Writing
Bulk
royal center, indiana
Indiana
Royal
Recorded
Cool
Critical
Medium
Music
One
Restless
Single
Writing
Bulk
restless records
Tone
Twin
Released
Background
Barn
Center
Critical
Indiana
Music
One
Restless
Royal
peter jesperson
Jesperson
Peter
Kelly
Keneipp
Logan
Songs
Bulk
Medium
Music
One
Restless
Royal
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 Mood Elevator, one of the stronger structural bridges in this analysis connects Mood Elevator with Critical reception. 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
Mood Elevator — Critical reception· splits 14 ⟂ 7Mood Elevator — Overview· splits 16 ⟂ 5Mood Elevator — Background and recording· splits 17 ⟂ 4Mood Elevator — Production· splits 17 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Mood Elevator
Nodes21
Edges20
Triples54
Avg. degree1.9
Density0.095238
Components1
Source & methodology
TTTA analyzes the structure around Mood Elevator to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Critical reception, Background and recording & Production, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
