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Dopplr: Companies, Investors & Notable staff

Dopplr was a free social networking service, launched in 2007, that allowed users to create itineraries of their travel plans and spot correlations with their contacts' travel plans in order to arrange meetings at any point on their journey. Additional features included allowing the user to calculate the carbon footprint their journeys have produced. The…

Language: English [EN]
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Dopplr topic overview

The analysis highlights Companies, Investors and Notable staff as prominent areas in the source structure around Dopplr.

Related topics
22
Source areas
5
Connected nodes
27
Extracted relationships
18
Concept neighborhoods
7
Bridge connections
27

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.

Investors · 10 topics
Overview · 6 topics
Notable staff · 3 topics
Reception · 2 topics
Shutdown · 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.

Available in
English
Commercial
Yes
Current status
offline
Launched
2007
Type of site
Social network service

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

Notable staff

Investors

Reception

Shutdown

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 Dopplr connects Entity context

The extracted context around Dopplr shows recurring relationship patterns in the source. For example, Dopplr → Dopplr's, In, In October, Nokia, November, On September, September, Within Another extracted example is Dopplr → Guardian Media Group, London, Matt Biddulph, Matt Jones, The Evening Standard. Use these groups to spot repeated connection types before inspecting the individual relationships.

Dopplr

Top relations

related to Shutdown · 8
Dopplr → Dopplr's, In, In October, Nokia, November, On September, September, Within
related to Reception · 5
Dopplr → Guardian Media Group, London, Matt Biddulph, Matt Jones, The Evening Standard
Available in · 1
Dopplr → English
Commercial · 1
Dopplr → Yes
Current status · 1
Dopplr → offline
Launched · 1
Dopplr → 2007
Type of site · 1
Dopplr → Social network service

Important terminology

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

Important terminology

site service named investors social launched london 2008 2007 users included company nokia matt biddulph jones influential two september updated

Dopplr relationships Subject–Predicate–Object triples

TTTA extracted 18 structured relationships around Dopplr. Examples in this analysis include Dopplr → Available in → English and Dopplr → Commercial → Yes. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DopplrAvailable inEnglish1.00infobox
DopplrCommercialYes1.00infobox
DopplrCurrent statusoffline1.00infobox
DopplrLaunched20071.00infobox
DopplrType of siteSocial network service1.00infobox
Dopplrrelated to ReceptionGuardian Media Group0.60section
Dopplrrelated to ReceptionThe Evening Standard0.60section
Dopplrrelated to ReceptionMatt Biddulph0.60section
Dopplrrelated to ReceptionMatt Jones0.60section
Dopplrrelated to ReceptionLondon0.60section
Dopplrrelated to ShutdownOn September0.60section
Dopplrrelated to ShutdownNokia0.60section

Related concept clusters Concept neighborhoods

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

  • Dopplr
    • Launched
    • Social
    • Service
    • Allowed
    • Arrange
    • Contacts'
    • Correlations
    • Create
    • Free
    • Itineraries
    • Journey
    • Meetings
  • dopplr
    • Launched
    • Social
    • Service
    • Allowed
    • Arrange
    • Contacts'
    • Correlations
    • Create
    • Free
    • Itineraries
    • Journey
    • Meetings
  • social networking
    • Itineraries
    • Journey
    • Meetings
    • Order
    • Plans
    • Point
    • Spot
    • Travel
    • Launched
    • Social
    • Users
    • Biddulph
  • angel investors
    • Biddulph
    • Jones
    • Launched
    • Matt
    • Social
    • Service
    • Site
  • investors
    • Biddulph
    • Jones
    • Launched
    • Matt
    • Social
    • Service
    • Site
  • london
    • Matt
    • Two
    • Named
  • nokia
    • September
    • Updated
    • Service

Connections between topic areas Semantic bridges

For Dopplr, one of the stronger structural bridges in this analysis connects Dopplr with Investors. 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
DopplrInvestors · splits 17 ⟂ 11
DopplrOverview · splits 21 ⟂ 7
DopplrNotable staff · splits 24 ⟂ 4
DopplrReception · splits 25 ⟂ 3

Map overview Semantic statistics

Dopplr

Nodes28
Edges27
Triples18
Avg. degree1.93
Density0.071429
Components1

Source & methodology

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

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

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