Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Plazes: History & Companies

Plazes AG was a Berlin, Germany-based geosocial networking site. Plazes allowed users to post their location and current activities and share this information with other Plazes users via computers or mobile telephones. On 23 June 2008, Nokia Corporation announced plans to acquire Plazes. Plazes was subsequently integrated to Nokia Maps which itself was…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Plazes topic overview

The analysis highlights History and Companies as prominent areas in the source structure around Plazes.

Related topics
15
Source areas
4
Connected nodes
19
Extracted relationships
62
Concept neighborhoods
7
Bridge connections
19

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.

Notable features · 9 topics
History · 3 topics
Overview · 2 topics
Acquisition by Nokia · 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.

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

Notable features

Acquisition by Nokia

  • Ovi Ovi (Nokia)

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 Plazes connects Entity context

The extracted context around Plazes shows recurring relationship patterns in the source. For example, Plazes → API, APIs, August, Bronze, Category, Flickr, In, In January, In June, In October, LeadAward, Movable Type, Plazes AG, The, Web-based API, WebLeader Another extracted example is Plazes → Fire Eagle, Gmail, Google Maps, Hotmail, In, Microsoft Outlook, MySpace, Plazer, Plazes Web, The Plazes Web, The Web, This, Twitter, Web, Yahoo. Use these groups to spot repeated connection types before inspecting the individual relationships.

Plazes

Top relations

related to history · 16
Plazes → API, APIs, August, Bronze, Category, Flickr, In, In January, In June, In October, LeadAward, Movable Type, Plazes AG, The, Web-based API, WebLeader
related to Web interface · 15
Plazes → Fire Eagle, Gmail, Google Maps, Hotmail, In, Microsoft Outlook, MySpace, Plazer, Plazes Web, The Plazes Web, The Web, This, Twitter, Web, Yahoo
related to Acquisition by Nokia · 13
Plazes → As, At, In August, July, June, Nokia, Nokia Corporation, Nokia Maps, Nokia's Services, On, Ovi, Post, The
related to Plazes Launcher/Plazer · 13
Plazes → If, In March, MAC, Mac OS, Nokia's Maemo, Plazer, Plazes Launcher, Skype, Symbian, The, The Plazes Launcher, There, Windows
related to Closure · 5
Plazes → HERE Maps, May, Nokia Maps, On, Users

Important terminology

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

Important terminology

users location nokia current plazer user user's allowed maps launcher service web interface acquisition group allows geosocial networking post information

Plazes relationships Subject–Predicate–Object triples

TTTA extracted 62 structured relationships around Plazes. Examples in this analysis include Plazes → related to Acquisition by Nokia → In August and Plazes → related to Acquisition by Nokia → Nokia. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Plazesrelated to Acquisition by NokiaIn August0.60section
Plazesrelated to Acquisition by NokiaNokia0.60section
Plazesrelated to Acquisition by NokiaOvi0.60section
Plazesrelated to Acquisition by NokiaNokia Maps0.60section
Plazesrelated to Acquisition by NokiaOn0.60section
Plazesrelated to Acquisition by NokiaJune0.60section
Plazesrelated to Acquisition by NokiaNokia Corporation0.60section
Plazesrelated to Acquisition by NokiaAs0.60section
Plazesrelated to Acquisition by NokiaAt0.60section
Plazesrelated to Acquisition by NokiaThe0.60section
Plazesrelated to Acquisition by NokiaJuly0.60section
Plazesrelated to Acquisition by NokiaPost0.60section

Related concept clusters Concept neighborhoods

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

  • Plazes
    • Users
    • Location
    • Nokia
    • Current
    • Launcher
    • User's
    • Allows
    • Interface
    • Web
    • Maps
    • Blog
    • Com
  • plazes
    • Users
    • Location
    • Nokia
    • Current
    • Launcher
    • User's
    • Allows
    • Interface
    • Web
    • Maps
    • Blog
    • Com
  • nokia corporation
    • Announced
    • June
    • Maps
    • Nokia
    • Ovi
    • Service
    • Plazes
    • Blog
    • Com
    • Geosocial
    • Networking
    • Integrated
  • acquisition by nokia
    • Part
    • Maps
    • Ovi
    • Service
    • Plazes
    • Integrated
    • Acquisition
    • Introduced
    • Nokia
    • Post
    • See
    • Interface
  • google maps
    • Nokia
    • Blog
    • Ovi
    • Service
    • Com
    • Networking
    • Part
    • Plazes
    • User's
    • Users
  • geosocial networking
    • Networking
    • Blog
    • Com
    • Corporation
    • Ovi
    • Nokia
    • Maps
    • Service
    • Plazes
  • ovi
    • Service
    • Part
    • Plazes

Connections between topic areas Semantic bridges

For Plazes, one of the stronger structural bridges in this analysis connects Plazes with Notable features. 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
PlazesNotable features · splits 10 ⟂ 10
PlazesHistory · splits 16 ⟂ 4
PlazesOverview · splits 17 ⟂ 3

Map overview Semantic statistics

Plazes

Nodes20
Edges19
Triples62
Avg. degree1.9
Density0.1
Components1

Source & methodology

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

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.