Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Passion Pit: Music, History, Members & Career
Passion Pit is an American indie pop band from Cambridge, Massachusetts. Formed in 2007, frontman and keyboardist Michael Angelakos is the band's primary recording member. As a touring act, the band currently consists of Angelakos (vocals, synthesiser), Chris Hartz (drums), Aaron Harrison Folb (bass, synthesiser), Giuliano Pizzulo (guitar, synthesiser)…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Passion Pit topic overview
The analysis highlights Music, History, Members and Career as prominent areas in the source structure around Passion Pit.
Related topics
106
Source areas
4
Connected nodes
110
Extracted relationships
116
Concept neighborhoods
17
Bridge connections
110
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 · 94 topics
Overview · 9 topics
Awards and accolades · 2 topics
Band members · 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.
Genres
Electropop · alternative dance · indietronica · synth-pop · indie pop
Labels
Frenchkiss · Columbia
Members
Michael Angelakos
Origin
Cambridge, Massachusetts, U.S.
Spinoff of
Cherry Bing
Years active
2007–present
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 Passion Pit 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 Passion Pit shows recurring relationship patterns in the source. For example, Passion Pit → Adam Lavinsky, Adhamy, After, Angelakos, At, Ayad Al Adhamy, Berklee College, Boston, Change EP, Chunk, Emerson College, Frenchkiss, Hollywood, Hultquist, Ian Hultquist, In, Jeff Apruzzese, Lavinsky, Music, Nate Donmoyer Another extracted example is Passion Pit → Angelakos, April, Canada, Columbia Records, February, Following, In, It, Japan, Kindred, KindredTheAlbum, Lifted Up, Morse, On February, On June, Passion Pit Vevo, Sky Hangs, Soon, That, The. Use these groups to spot repeated connection types before inspecting the individual relationships.
Passion Pit
Top relations
related to Early years and Chunk of Change: 2007–2009· 28
Passion Pit → Adam Lavinsky, Adhamy, After, Angelakos, At, Ayad Al Adhamy, Berklee College, Boston, Change EP, Chunk, Emerson College, Frenchkiss, Hollywood, Hultquist, Ian Hultquist, In, Jeff Apruzzese, Lavinsky, Music, Nate Donmoyer
related to Kindred: 2014–2016· 26
Passion Pit → Angelakos, April, Canada, Columbia Records, February, Following, In, It, Japan, Kindred, KindredTheAlbum, Lifted Up, Morse, On February, On June, Passion Pit Vevo, Sky Hangs, Soon, That, The
related to Manners: 2009–2011· 20
Passion Pit → Billboard Alternative Songs, Canada, ClashMusic, In, Let Your Love Grow, Little Secrets, Manners, May, New York City, No, October, PS22, Rocks Off, Tall, The, The Reeling, TV, Ugly Betty, UK, United States
related to Tremendous Sea of Love: 2017–present· 14
Passion Pit → All, Angelakos, Cambridge, During February, July, March, Massachusetts, Michael, Michael Angelakos, On July, The, The Wishart Group, Wells, YouTube
Genres· 7
Passion Pit → alternative dance, art pop, Electropop, indie pop, indietronica, neo-psychedelia, synth-pop
related to External links· 3
Passion Pit → Artistdirect, Official, Pit
Labels· 2
Passion Pit → Columbia, Frenchkiss
Members· 1
Passion Pit → Michael Angelakos
Origin· 1
Passion Pit → Cambridge, Massachusetts, U.S.
Spinoff of· 1
Passion Pit → Cherry Bing
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.
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 116 structured relationships around Passion Pit. Examples in this analysis include Passion Pit → Genres → Electropop and Passion Pit → Genres → alternative dance. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Passion Pit
Genres
Electropop
1.00
infobox
Passion Pit
Genres
alternative dance
1.00
infobox
Passion Pit
Genres
indietronica
1.00
infobox
Passion Pit
Genres
synth-pop
1.00
infobox
Passion Pit
Genres
indie pop
1.00
infobox
Passion Pit
Genres
neo-psychedelia
1.00
infobox
Passion Pit
Genres
art pop
1.00
infobox
Passion Pit
Labels
Frenchkiss
1.00
infobox
Passion Pit
Labels
Columbia
1.00
infobox
Passion Pit
Members
Michael Angelakos
1.00
infobox
Passion Pit
Origin
Cambridge, Massachusetts, U.S.
1.00
infobox
Passion Pit
Spinoff of
Cherry Bing
1.00
infobox
Passion Pit
Website
www.passionpit.com
1.00
infobox
Passion Pit
Years active
2007–present
1.00
infobox
Passion Pit
is a
American indie pop band from Cambridge
0.90
text
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 Passion Pit bring nearby vocabulary together. In this analysis, examples include Pit, Band and Released. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Passion Pit
Pit
Band
Released
Tour
Angelakos
Cambridge
Kindred
February
Songs
Love
Manners
Announced
passion pit
Pit
Band
Tour
Released
Angelakos
Cambridge
February
Kindred
Songs
Announced
Single
Love
michael angelakos
Michael
Songs
Pit
Passion
Album
Band
February
Would
Announced
Music
Third
Tracks
band members
Passion
Pit
Manners
Album
New
Love
Angelakos
Song
Tour
Release
Released
Cambridge
constant conversations ep
Featured
Songs
First
Released
Pit
Sea
Second
Passion
February
Would
Love
Music
gossamer
Track
July
Released
Kindred
Sea
Second
Featured
Love
Manners
Pit
Passion
June
first game
Songs
Would
Released
Manners
Single
Ep
Song
Pit
Passion
July
Love
Announced
manners
Love
Kindred
Sea
Pit
First
Gossamer
Passion
Released
Songs
Single
Tracks
New
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 Passion Pit, one of the stronger structural bridges in this analysis connects Passion Pit 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.
Passion Pit
Nodes111
Edges110
Triples116
Avg. degree1.98
Density0.018018
Components1
Source & methodology
TTTA analyzes the structure around Passion Pit to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Music, History, Members & Career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
