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LinkedIn: History, Works, Research & Economy

LinkedIn (/lɪŋktˈɪn/) is an American business and employment-oriented social networking service used globally. The platform is primarily used for professional networking and career development, as it allows job seekers to post their CVs and employers to post their job listings. As of 2026, LinkedIn has more than 1 billion registered members from over 200…

Language: English [EN]
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LinkedIn topic overview

The analysis highlights History, Works, Research and Economy as prominent areas in the source structure around LinkedIn.

Related topics
176
Source areas
12
Connected nodes
188
Extracted relationships
356
Concept neighborhoods
22
Bridge connections
188

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 · 69 topics
History · 34 topics
Usage · 20 topics
Academic research · 17 topics
Company overview · 10 topics
Platform and features · 8 topics
International restrictions · 7 topics
Criticism and controversies · 4 topics
Role in networking · 3 topics
Open-source contributions · 2 topics
Economic graph · 1 topics
Membership · 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.

Founded
December 10, 2002; 23 years ago (2002-12-10) Mountain View, California, U.S.
Founders
Reid Hoffman · Eric Ly
Industry
Internet
Headquarters
Sunnyvale, California, U.S.
Advertising
AdSense
Area served
Worldwide

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

Company overview

History

Membership

Platform and features

Usage

Economic graph

Role in networking

Criticism and controversies

Academic research

International restrictions

Open-source contributions

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 LinkedIn connects Entity context

The extracted context around LinkedIn shows recurring relationship patterns in the source. For example, LinkedIn → Allen Blue, Asia-Pacific, By December, Chris Saccheri, David Eves, December, Dublin, Eric Ly, Greylock Partners, Ian McNish, In, In April, In August, In February, In June, In March, In November, In October, India, International Headquarters Another extracted example is LinkedIn → April, Bain Capital Ventures, Bessemer Venture Partners, California, CEO, Daniel Shapero, European Founders Fund, Executive Chairman, February, Founded, Greylock, In February, It, January, Jeff Weiner, LinkedIn's, LNKD, March, May, Mountain View. Use these groups to spot repeated connection types before inspecting the individual relationships.

LinkedIn

Top relations

related to Founding from 2002 to 2011 · 40
LinkedIn → Allen Blue, Asia-Pacific, By December, Chris Saccheri, David Eves, December, Dublin, Eric Ly, Greylock Partners, Ian McNish, In, In April, In August, In February, In June, In March, In November, In October, India, International Headquarters
related to overview · 25
LinkedIn → April, Bain Capital Ventures, Bessemer Venture Partners, California, CEO, Daniel Shapero, European Founders Fund, Executive Chairman, February, Founded, Greylock, In February, It, January, Jeff Weiner, LinkedIn's, LNKD, March, May, Mountain View
related to Top Companies · 23
LinkedIn → Alphabet, Amazon, Australia, Brazil, Canada, Chase Co, China, Facebook, France, Germany, Google's, India, Indonesia, Japan, JPMorgan, LinkedIn Top Companies, Mexico, South Korea, Spain, The
related to 2011 to present · 19
LinkedIn → By, In, In April, In February, In March, IPO, January, LinkedIn's, LNKD, May, New York Stock Exchange, NYSE, San Francisco's SoMa, San Francisco-based, Second Street, Shares, Shortly, The, Twitter
related to hiQ Labs v. LinkedIn · 17
LinkedIn → Abuse Act, AI, California, CEO Daniel Shapero, CFAA, Computer Fraud, Digital Millennium Copyright Act, DMCA, In, In May, Labs, LinkedIn's, Northern District, San Francisco, September, Silicon Valley, The
has effect · 15
LinkedIn → Also, Belgium, Consequently, Facebook, In, In May, Ofer Sharone, PhD, Ralf Caers, Research Policy, Sharone, SNS, Social Science Computer Review, Specifically, Vanessa Castelyns
related to Mobile · 15
LinkedIn → Bishop Fox, CardMunch, Chinese, English, February, French, German, In January, In June, In October, Intro, Japanese, Mail, Spanish, This
related to Games · 14
LinkedIn → Crossclimb, In May, LinkedIn Games, Mini Sudoku, Patches, Pinpoint, Queens, Tango, The New York Times, These, Users, Wend, Wordle, Zip
related to Economic graph · 12
LinkedIn → Brazil, City, Engineers, Facebook's, Galene, Hadoop, In June, Inspired, LinkedIn CEO Jeff Weiner, New York, Tech Talent Pipeline, The
related to International restrictions · 11
LinkedIn → After, China, Chinese, In February, It, Jasmine Revolution, LinkedIn CEO Jeff Weiner, Lǐngyīng, Simplified Chinese, Since Autumn, Twitter

Important terminology

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

Important terminology

users platform members professional data job also company million network new may linkedin's 2016 business social use launched used employees

LinkedIn relationships Subject–Predicate–Object triples

TTTA extracted 356 structured relationships around LinkedIn. Examples in this analysis include LinkedIn → Advertising → AdSense and LinkedIn → Area served → Worldwide. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
LinkedInAdvertisingAdSense1.00infobox
LinkedInArea servedWorldwide1.00infobox
LinkedInAvailable in36 languages1.00infobox
LinkedInCurrent statusActive1.00infobox
LinkedInEmployees18,500 (2024)1.00infobox
LinkedInFoundedDecember 10, 2002; 23 years ago (2002-12-10) Mountain View, California, U.S.1.00infobox
LinkedInFoundersReid Hoffman1.00infobox
LinkedInFoundersEric Ly1.00infobox
LinkedInHeadquartersSunnyvale, California, U.S.1.00infobox
LinkedInIndustryInternet1.00infobox
LinkedInIPv6 supportYes1.00infobox
LinkedInKey peopleJeff Weiner (Executive Chairman) Daniel Shapero (CEO)1.00infobox
LinkedInLaunchedMay 5, 2003; 23 years ago (2003-05-05)1.00infobox
LinkedInParentMicrosoft (2016–present)1.00infobox
LinkedInRegistrationRequired1.00infobox
LinkedInRevenueUS$17.8 billion (2025)1.00infobox
LinkedInSubsidiariesLinkedIn Learning Connectifier Drawbridge Glint1.00infobox
LinkedInType of businessSubsidiary1.00infobox
LinkedInType of siteProfessional network service1.00infobox
LinkedInType of siteSocial media1.00infobox
LinkedInURLlinkedin.com1.00infobox
LinkedInUsers310 million MAU (Self-claimed, February 2023)[unreliable source?]1.00infobox
LinkedInis amore proactive networking site for job applicants trying to secure a career move or for salespeople wanting to generate new client leads.Top CompaniesLinkedIn Top Companies is a…0.90text
LinkedInis amore proactive networking site for job applicants trying to secure a career move or for salespeople wanting to generate new client leads0.90text

Related concept clusters Concept neighborhoods

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

  • LinkedIn
    • Users
    • Members
    • Million
    • Announced
    • Professional
    • Job
    • Data
    • Platform
    • Also
    • Launched
    • Social
    • Network
  • linkedin
    • Users
    • Members
    • Million
    • Announced
    • Professional
    • Job
    • Data
    • Platform
    • Also
    • Launched
    • Social
    • Network
  • social networking service
    • Professional
    • Social
    • Network
    • Job
    • Platform
    • Used
    • Information
    • List
    • Also
    • Connections
    • Online
    • Profile
  • professional networking
    • Professional
    • Social
    • Job
    • Network
    • Platform
    • Members
    • Used
    • Content
    • Profile
    • List
    • Connections
    • Feature
  • selling access to information about its members
    • Used
    • Professional
    • Use
    • Data
    • Also
    • Social
    • Profile
    • Job
    • Companies
    • List
    • Platform
    • People
  • 2012 linkedin hack
    • Users
    • Members
    • Million
    • Announced
    • Professional
    • Job
    • Data
    • Platform
    • Also
    • Launched
    • Social
    • Network
  • information commissioner's office
    • Used
    • Use
    • Data
    • Social
    • Job
    • Companies
    • Platform
    • User
    • Profile
    • May
    • Members
    • Professional
  • australian legislation which sought to ban under-16's from social media platforms
    • Network
    • Professional
    • Information
    • Job
    • Used
    • Also
    • List
    • Platform
    • Connections
    • Online
    • Profile
    • Members

Connections between topic areas Semantic bridges

For LinkedIn, one of the stronger structural bridges in this analysis connects LinkedIn 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
LinkedIn — Overview · splits 119 ⟂ 70
LinkedIn — History · splits 154 ⟂ 35
LinkedIn — Usage · splits 168 ⟂ 21
LinkedIn — Academic research · splits 171 ⟂ 18
LinkedIn — Company overview · splits 178 ⟂ 11
LinkedIn — Platform and features · splits 180 ⟂ 9
LinkedIn — International restrictions · splits 181 ⟂ 8
LinkedIn — Criticism and controversies · splits 184 ⟂ 5
LinkedIn — Role in networking · splits 185 ⟂ 4
LinkedIn — Open-source contributions · splits 186 ⟂ 3

Map overview Semantic statistics

LinkedIn

Nodes189
Edges188
Triples356
Avg. degree1.99
Density0.010582
Components1

Source & methodology

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

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

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