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MiKandi: Applications, Art & Companies
MiKandi (pronounced "my candy") is a defunct mobile adult software applications store. Developed by MiKandi LLC, a formerly Seattle-based company, MiKandi was the world's first mobile porn app store. The store sought to get around restrictions placed on adult content by Apple Inc. by releasing the third-party application store on Google's Android…
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MiKandi topic overview
The analysis highlights Applications, Art and Companies as prominent areas in the source structure around MiKandi.
Related topics
25
Source areas
4
Connected nodes
29
Extracted relationships
75
Concept neighborhoods
11
Bridge connections
29
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.
Applications · 9 topics
Overview · 7 topics
Controversy · 6 topics
Features and services · 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.
Available in
English, German, Spanish, Chinese
Developer
MiKandi
Operating system
Android
Release
November 29, 2009 (2009-11-29)
Size
13.1 MB
Stable release
5.5.10 / March 10, 2018; 8 years ago (2018-03-10)
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 MiKandi 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 MiKandi shows recurring relationship patterns in the source. For example, MiKandi → AdMob, Adult FriendFinder, Although, Although MiKandi, Android Market, Apple App Store, Banned, Early, February, Gamelink, Her, Hustler, In, January, Jennifer McEwen, March, MiKandi App Market, Northwest Cable News, On March, On November Another extracted example is MiKandi → Adults, Android, Apple, Apple CEO Steve Jobs, Apple’s, CEO Jesse Adams, Co-founder, During, It’s, Jobs, March, Market, Maybe, Microsoft’s, OS, Says Adams, The World’s First App. Use these groups to spot repeated connection types before inspecting the individual relationships.
MiKandi
Top relations
has application· 24
MiKandi → AdMob, Adult FriendFinder, Although, Although MiKandi, Android Market, Apple App Store, Banned, Early, February, Gamelink, Her, Hustler, In, January, Jennifer McEwen, March, MiKandi App Market, Northwest Cable News, On March, On November
related to Controversy· 17
MiKandi → Adults, Android, Apple, Apple CEO Steve Jobs, Apple’s, CEO Jesse Adams, Co-founder, During, It’s, Jobs, March, Market, Maybe, Microsoft’s, OS, Says Adams, The World’s First App
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 75 structured relationships around MiKandi. Examples in this analysis include MiKandi → Available in → English, German, Spanish, Chinese and MiKandi → Developer → MiKandi. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
MiKandi
Available in
English, German, Spanish, Chinese
1.00
infobox
MiKandi
Developer
MiKandi
1.00
infobox
MiKandi
Operating system
Android
1.00
infobox
MiKandi
Release
November 29, 2009 (2009-11-29)
1.00
infobox
MiKandi
Size
13.1 MB
1.00
infobox
MiKandi
Stable release
5.5.10 / March 10, 2018; 8 years ago (2018-03-10)
1.00
infobox
MiKandi
Type
Software store
1.00
infobox
MiKandi
Website
mikandi.com
1.00
infobox
MiKandi
Written in
Java
1.00
infobox
MiKandi
has application
In
0.60
section
MiKandi
has application
Northwest Cable News
0.60
section
MiKandi
has application
Jennifer McEwen
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 MiKandi bring nearby vocabulary together. In this analysis, examples include App, Released and Android. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
MiKandi
App
Released
Android
Store
Applications
Devices
Adult
Market
Application
Support
Theater
Available
mikandi
App
Released
Android
Store
Applications
Devices
Adult
Market
Application
Support
Theater
Available
app store
Market
Store
Mikandi
Android
Application
Launched
Devices
Released
Third-party
Operating
System
Apple
android
Devices
Available
Application
Store
Operating
System
Apple
Mikandi
App
Reported
Third-party
Kandibilling
adult friendfinder
Applications
Devices
Official
Android
Mikandi
Released
Content
Application
Operating
System
Touch
Market
apple app store
Market
Store
Mikandi
Android
Application
Content
Html5
Launched
Porn
Releasing
Third-party
Devices
android market
Devices
Available
Official
Application
Store
Operating
System
Released
Apple
Mikandi
App
Reported
applications
Software
Mikandi
Official
App
Android
Content
Installed
Market
Store
Kandibilling
Million
Operating
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 MiKandi, one of the stronger structural bridges in this analysis connects MiKandi with Applications. 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.
MiKandi
Nodes30
Edges29
Triples75
Avg. degree1.93
Density0.066667
Components1
Source & methodology
TTTA analyzes the structure around MiKandi to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
