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Klout: History, Methodology & Business model

Klout was a website and mobile app that used social media analytics to rate its users according to online social influence via the "Klout Score", which was a numerical value between 1 and 100. In determining the user score, Klout measured the size of a user's social media network and correlated the content created to measure how other users interact with…

Language: English [EN]
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Klout topic overview

The analysis highlights History, Methodology and Business model as prominent areas in the source structure around Klout.

Related topics
26
Source areas
4
Connected nodes
30
Extracted relationships
57
Concept neighborhoods
13
Bridge connections
30

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.

Overview · 14 topics
Methodology · 8 topics
Business model · 3 topics
History · 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
Lithium Technologies
Headquarters
San Francisco, California, United States
Advertising
No
Area served
Worldwide
Available in
English
Current status
Closed

Explore all related topics Closing gaps

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.

Overview

Methodology

History

Business model

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Klout connects Entity context

The extracted context around Klout shows recurring relationship patterns in the source. For example, Klout → Amplification, Bing, Blogger, Flickr, Klout Score, Last, Microsoft, Network, Other, September, This, True, Tumblr, Twitter, WordPress Another extracted example is Klout → Because, During, Facebook, In, Joe Fernandez, Midway, Pulling, Twitter, Twitter’s API. Use these groups to spot repeated connection types before inspecting the individual relationships.

Klout

Top relations

related to Methodology · 15
Klout → Amplification, Bing, Blogger, Flickr, Klout Score, Last, Microsoft, Network, Other, September, This, True, Tumblr, Twitter, WordPress
related to history · 9
Klout → Because, During, Facebook, In, Joe Fernandez, Midway, Pulling, Twitter, Twitter’s API
related to Perks · 7
Klout → According, In May, Klout CEO Joe Fernandez, November, Perks, The, While Klout
related to External links · 3
Klout → How Klout, Official, Wayback Machine
related to Content page · 2
Klout → Bing, In September
see also · 2
Klout → KloutEngagio, Score
Advertising · 1
Klout → No
Area served · 1
Klout → Worldwide
Available in · 1
Klout → English
Current status · 1
Klout → Closed

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

social score users influence data scores network online business media twitter announced perks analytics march used 100 user user's assigned

Klout relationships Subject–Predicate–Object triples

TTTA extracted 57 structured relationships around Klout. Examples in this analysis include Klout → Advertising → No and Klout → Area served → Worldwide. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
KloutAdvertisingNo1.00infobox
KloutArea servedWorldwide1.00infobox
KloutAvailable inEnglish1.00infobox
KloutCurrent statusClosed1.00infobox
KloutFounder(s)Joe Fernandez Binh Tran1.00infobox
KloutHeadquartersSan Francisco, California, United States1.00infobox
KloutKey peopleJoe Fernandez (CEO) Emil Michael (COO)1.00infobox
KloutLaunched20081.00infobox
KloutOwnerLithium Technologies1.00infobox
KloutRegistrationOptional1.00infobox
KloutType of businessSubsidiary1.00infobox
KloutType of siteSocial Networking1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Klout bring nearby vocabulary together. In this analysis, examples include Social, Users and Score. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Klout
    • Social
    • Users
    • Score
    • Scores
    • Influence
    • Announced
    • Online
    • Network
    • Media
    • Perks
    • Data
    • Analytics
  • klout
    • Social
    • Users
    • Score
    • Scores
    • Influence
    • Announced
    • Online
    • Network
    • Media
    • Perks
    • Data
    • Analytics
  • social media
    • Media
    • Social
    • Score
    • Measured
    • User
    • Users
    • Value
    • Online
    • Network
    • Twitter
    • Data
    • Content
  • general data protection regulation
    • Influence
    • Twitter
    • Score
    • Site
    • Assigned
    • Bing
    • Lithium
    • Technologies
    • Business
    • Would
    • Social
    • Network
  • business model
    • Perks
    • Twitter
    • Closed
    • Content
    • Data
    • Facebook
    • Instagram
    • Launched
    • People
    • Site
    • Assigned
    • Fernandez
  • analytics
    • Online
    • Value
    • March
    • Media
    • Announced
    • Instagram
    • People
    • Influence
    • Assigned
    • Measured
    • Used
    • User
  • lithium technologies
    • Technologies
    • Closed
    • Site
    • Acquired
    • March
    • Launched
    • People
    • Data
    • Fernandez
    • Joe
    • May
    • Measured
  • bing
    • Announced
    • Facebook
    • Instagram
    • Data
    • Assigned
    • Used
    • User
    • Business
    • Would
    • Media
    • Twitter
    • Scores

Connections between topic areas Semantic bridges

For Klout, one of the stronger structural bridges in this analysis connects Klout with Overview. 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
Klout — Overview · splits 16 ⟂ 15
Klout — Methodology · splits 22 ⟂ 9
Klout — Business model · splits 27 ⟂ 4

Map overview Semantic statistics

Klout

Nodes31
Edges30
Triples57
Avg. degree1.94
Density0.064516
Components1

Source & methodology

TTTA analyzes the structure around Klout to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Methodology & Business model, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Klout · EN edition · Analysis: TopicsToTalkAbout

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