Pageflakes

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Map view:

Zoom: 100%

More settings

Connection length 100% Label size 100% Node size 100% Line width 100% Label width 100%

Export map as:

Pageflakes topic overview

The analysis highlights History, Technology and Art as prominent areas in the source structure around Pageflakes.

Related topics: 16
Source areas: 3
Connected nodes: 19
Extracted relationships: 23
Related term clusters: 14
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.

Overview · 13 topics

Underlying Technology · 2 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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Pageflakes

13Ajax (programming) · Home page · Web portal

3United States · ASP.NET · ASP.NET AJAX

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

United States

Underlying Technology

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Pageflakes connects Entity context

The extracted context around Pageflakes shows recurring relationship patterns in the source. For example, Pageflakes → Balderton Capital, Benchmark Capital Europe, CEO, Dan Cohen, Germany, January, LiveUniverse, May, San Francisco, United States. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 10

Pageflakes → Balderton Capital, Benchmark Capital Europe, CEO, Dan Cohen, Germany, January, LiveUniverse, May, San Francisco, United States

Important terminology

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

Important terminology

flakes web modules content netvibes myhomepage igoogle yahoo live 2005 january site startpage flickr facebook youtube twitter pagecasts 2008 building

Pageflakes relationships Subject–Predicate–Object triples

TTTA extracted 23 structured relationships around Pageflakes. Examples in this analysis include RSS/Atom feeds → instance of → information and Pinterest → instance of → in essence a widget-based precursor to pages shared through content sharing sites. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
RSS/Atom feeds	instance of	information	0.80	text
Calendar	instance of	information	0.80	text
Notes	instance of	information	0.80	text
Web search	instance of	information	0.80	text
weather forecast	instance of	information	0.80	text
del.icio.us bookmarks	instance of	information	0.80	text
Flickr photos	instance of	information	0.80	text
social networking tools like Facebook	instance of	information	0.80	text
YouTube	instance of	information	0.80	text
Twitter	instance of	information	0.80	text
email	instance of	information	0.80	text
user-created modules	instance of	information	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around Pageflakes bring nearby vocabulary together. In this analysis, examples include Microsoft, Operated and Pagecasts. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Pageflakes
- Microsoft
- Operated
- Pagecasts
- Personal
- Portal
- Similar
- Startpage
- Content
- Igoogle
- January
- Live
- Myhomepage
pageflakes
- Microsoft
- Operated
- Pagecasts
- Personal
- Portal
- Similar
- Startpage
- Content
- Igoogle
- January
- Live
- Myhomepage
web portal
- Similar
- Startpage
- Atom
- Facebook
- Feeds
- Flake
- Flickr
- Information
- Rss
- Twitter
- Varied
- Web
my yahoo!
- Igoogle
- Live
- Myhomepage
- Netvibes
- Ajax-based
- Microsoft
- Operated
- Personal
- Portal
- Similar
- Startpage
- Building
netvibes
- Igoogle
- Live
- Myhomepage
- Yahoo
- Microsoft
- Operated
- Personal
- Portal
- Similar
- Startpage
- Building
- January
myhomepage
- Igoogle
- Live
- Netvibes
- Yahoo
- Microsoft
- Operated
- Personal
- Portal
- Similar
- Startpage
- Building
- January
igoogle
- Live
- Myhomepage
- Netvibes
- Yahoo
- Microsoft
- Operated
- Personal
- Portal
- Similar
- Startpage
- Building
- January
microsoft live
- Myhomepage
- Netvibes
- Operated
- Personal
- Portal
- Similar
- Startpage
- Yahoo
- January
- Live
- Microsoft
- Web

Connections between topic areas Semantic bridges

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

Pageflakes — Overview · splits 6 ⟂ 14

Pageflakes — Underlying Technology · splits 17 ⟂ 3

Map overview Semantic statistics

Pageflakes

Nodes20

Edges19

Triples23

Avg. degree1.9

Density0.1

Components1

Source & methodology

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

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

Pageflakes: History, Technology & Art

Pageflakes topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Underlying Technology

For the semantics nerds

Advanced semantic analysis

How Pageflakes connects Entity context

Pageflakes

Top relations

Important terminology

Important terminology

Pageflakes relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Pageflakes

Source & methodology