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Friendster: History, Regions & Companies

Friendster is a social networking service originally based in Mountain View, California, founded by Jonathan Abrams and launched in March 2002. Before Friendster was redesigned, the service allowed users to contact other members, maintain those contacts, and share online content and media with those contacts. The website was also used for dating and…

Language: English [EN]
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Friendster topic overview

The analysis highlights History, Regions and Companies as prominent areas in the source structure around Friendster.

Related topics
52
Source areas
6
Connected nodes
58
Extracted relationships
91
Concept neighborhoods
15
Bridge connections
58

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 · 24 topics
Languages · 11 topics
Development · 6 topics
Overview · 5 topics
Awards and recognitions · 3 topics
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.

Founded
2002; 24 years ago (2002) (first incarnation) 2023; 3 years ago (2023) (second incarnation)
Headquarters
Dover, Delaware, United States
Advertising
Banner ads, contextual ads, sponsorships
Area served
Worldwide
Current status
Active
Dissolved
2015; 11 years ago (2015) (first incarnation)

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

History

Awards and recognitions

Services

Languages

Development

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 Friendster connects Entity context

The extracted context around Friendster shows recurring relationship patterns in the source. For example, Friendster → Asian, Available, Chinese, English, Filipino, Indonesian, Japanese, Korean, Malay, Simplified, Spanish, Thai, Traditional, Users, Vietnamese Another extracted example is Friendster → Benchmark Capital, Byers, Canadian, Facebook, Google, Hi5, In, Jonathan Abrams, Kleiner Perkins Caufield, Makeoutclub, MySpace, SixDegrees, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Friendster

Top relations

related to Languages · 15
Friendster → Asian, Available, Chinese, English, Filipino, Indonesian, Japanese, Korean, Malay, Simplified, Spanish, Thai, Traditional, Users, Vietnamese
related to history · 13
Friendster → Benchmark Capital, Byers, Canadian, Facebook, Google, Hi5, In, Jonathan Abrams, Kleiner Perkins Caufield, Makeoutclub, MySpace, SixDegrees, The
related to Awards and recognitions · 10
Friendster → AlwaysOn Media, In, In April, In July, Key Social Networking Technology, Patent, Private Company Award Winner, The Onion News Network, Top, Webware
related to Services · 10
Friendster → Friendster Hotspots, Friendster Wallet, Friendster's, In November, MOL, MOL AccessPortal Berhad, MOL's, Sub-brands, The Friendster Wallet, Wi-Fi
related to Patents · 7
Friendster → Inducing Content Uploads, Managing Connections, Method, Online Social NetworkCompatibility Scoring, Social NetworkMethod, Social NetworkSystem, Users
related to Site transformation · 7
Friendster → An, However, In June, June, Photos, Previous, The
related to Development · 5
Friendster → APIs, August, Friendster's, Friendster's Developer Program, In
Native clients on · 3
Friendster → Android, iOS, Web
is a · 2
Friendster → portmanteau of, social networking service originally based in Mountain View
related to External links · 2
Friendster → November, Wayback Machine

Important terminology

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

Important terminology

social users million networking site network company june facebook online 2003 service friendster's platform services first content asia 2015 2009

Friendster relationships Subject–Predicate–Object triples

TTTA extracted 91 structured relationships around Friendster. Examples in this analysis include Friendster → Advertising → Banner ads, contextual ads, sponsorships and Friendster → Area served → Worldwide. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
FriendsterAdvertisingBanner ads, contextual ads, sponsorships1.00infobox
FriendsterArea servedWorldwide1.00infobox
FriendsterCurrent statusActive1.00infobox
FriendsterDissolved2015; 11 years ago (2015) (first incarnation)1.00infobox
FriendsterFounded2002; 24 years ago (2002) (first incarnation) 2023; 3 years ago (2023) (second incarnation)1.00infobox
FriendsterFounderJonathan Abrams1.00infobox
FriendsterHeadquartersDover, Delaware, United States1.00infobox
FriendsterKey peopleMike Carson (CEO)1.00infobox
FriendsterLaunchedMarch 22, 2003; 23 years ago (March 22, 2003) (first incarnation) 2026; 0 years ago (2026) (second incarnation)1.00infobox
FriendsterNative clients oniOS1.00infobox
FriendsterNative clients onAndroid1.00infobox
FriendsterNative clients onWeb1.00infobox
FriendsterParentFriendster Labs, Inc. (2003–2009; 2023–present) MOL Global (2009–2015)1.00infobox
FriendsterRegistrationFree1.00infobox
FriendsterType of siteSocial networking service1.00infobox
FriendsterURLfriendster.com1.00infobox
FriendsterUsers8.2 million (June 2010)1.00infobox
Friendsteris asocial networking service originally based in Mountain View0.90text
Friendsteris aportmanteau of0.90text

Related concept clusters Concept neighborhoods

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

  • Friendster
    • Million
    • Social
    • Users
    • Network
    • First
    • Networking
    • Content
    • Online
    • August
    • Global
    • Facebook
    • Platform
  • friendster
    • Million
    • Social
    • Users
    • Network
    • First
    • Networking
    • Content
    • Online
    • August
    • Global
    • Facebook
    • Platform
  • social networking service
    • Social
    • Launched
    • Network
    • Facebook
    • Service
    • Users
    • First
    • Online
    • Site
    • One
    • Original
    • Services
  • social networking sites
    • Social
    • Network
    • Facebook
    • Service
    • Users
    • First
    • Site
    • Launched
    • One
    • Original
    • Services
    • Million
  • social networking
    • Social
    • Network
    • Facebook
    • Service
    • Users
    • First
    • Site
    • Launched
    • One
    • Original
    • Services
    • Million
  • facebook
    • Social
    • Networking
    • First
    • Online
    • Users
    • Network
    • Site
    • Friendster
    • Founded
    • Launched
    • Million
    • One
  • social network
    • Network
    • Social
    • Facebook
    • Online
    • Users
    • First
    • Site
    • Global
    • Million
    • Platform
    • Networking
    • Including
  • jonathan abrams
    • Ceo
    • Founded
    • Launched
    • Service
    • Based
    • Networking
    • Global
    • Services
    • Facebook
    • First
    • June
    • Social

Connections between topic areas Semantic bridges

For Friendster, one of the stronger structural bridges in this analysis connects Friendster 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.

Min side: 3
Friendster — History · splits 34 ⟂ 25
Friendster — Languages · splits 47 ⟂ 12
Friendster — Development · splits 52 ⟂ 7
Friendster — Overview · splits 53 ⟂ 6
Friendster — Awards and recognitions · splits 55 ⟂ 4
Friendster — Services · splits 55 ⟂ 4

Map overview Semantic statistics

Friendster

Nodes59
Edges58
Triples91
Avg. degree1.97
Density0.033898
Components1

Source & methodology

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

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

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