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The Old Reader: Applications, Mobile applications & Features
The Old Reader is a web-based news aggregator that delivers website, blog, and other Internet content to a web-based inbox. The service sprang up when Google removed social features from Google Reader; the site supports social media sharing, including the ability to "like" content, and find friends via social media networks.
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The Old Reader topic overview
The analysis highlights Applications, Mobile applications and Features as prominent areas in the source structure around The Old Reader.
Related topics
13
Source areas
4
Connected nodes
17
Extracted relationships
49
Related term clusters
10
Bridge connections
17
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.
Mobile applications · 4 topics
Overview · 4 topics
Features · 3 topics
Reception · 2 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.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
Advanced semantic analysis
How The Old Reader connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around The Old Reader shows recurring relationship patterns in the source. For example, The Old Reader → Anton, Anton Tolchanov, April, By July, Dmitry, Dmitry Krasnoukhov, Elena, Elena Bulygina, Google, Google Reader, Google Reader's, In March, In November, Levee Labs, United States Another extracted example is The Old Reader → Facebook, Former, Google, Google Reader, Instapaper, OPML, Premium, Readability, RSS, Spritz. Use these groups to spot repeated connection types before inspecting the individual relationships.
The Old Reader
Top relations
related to history· 15
The Old Reader → Anton, Anton Tolchanov, April, By July, Dmitry, Dmitry Krasnoukhov, Elena, Elena Bulygina, Google, Google Reader, Google Reader's, In March, In November, Levee Labs, United States
related to Features· 10
The Old Reader → Facebook, Former, Google, Google Reader, Instapaper, OPML, Premium, Readability, RSS, Spritz
has application· 9
The Old Reader → Android, API, Feeddler, Greader, Old Reader, Reeder, Symbian, ThOR, Windows Phone
related to Reception· 5
The Old Reader → Dave Winer, March, PC Magazine, RSS, The Old Reader's
Available in· 1
The Old Reader → English, Spanish, French, German, Italian, Catalan, Portuguese, Norwegian, Swedish, Dutch, Greek, Slovene, Polish, Czech, Hungarian, Ukrainian, Russian, Turkish, Chinese
Current status· 1
The Old Reader → Online
Launched· 1
The Old Reader → 12 June 2012; 14 years ago (2012-06-12)
Owner· 1
The Old Reader → Levee Labs
Registration· 1
The Old Reader → Required
Type of site· 1
The Old Reader → news aggregator
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
The Old Reader relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 49 structured relationships around The Old Reader. Examples in this analysis include The Old Reader → Available in → English, Spanish, French, German, Italian, Catalan, Portuguese, Norwegian, Swedish, Dutch, Greek, Slovene, Polish, Czech, Hungarian, Ukrainian, Russian, Turkish, Chinese and The Old Reader → Current status → Online. The table shows each extracted connection, where it came from and its confidence.
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around The Old Reader bring nearby vocabulary together. In this analysis, examples include Reader, Google and Service. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
The Old Reader
Reader
Google
Service
Applications
Available
Mobile
Reader's
Announced
Team
Users
Aggregator
Blog
the old reader
Reader
Google
Service
Users
Applications
Available
Mobile
Reader's
Announced
March
Rss
Site
google reader
Users
Find
Friends
Via
Google
Reader
Announced
Service
Site
Applications
Available
March
features
Like
Social
Site
Service
Find
Friends
News
Owner
Reception
Started
Status
Via
news aggregator
Aggregator
News
Web-based
Blog
Owner
Reception
Started
Status
Also
Applications
Available
Labs
google
Users
Find
Friends
Via
Reader
Announced
Service
Site
Like
Social
Started
Also
mobile applications
Available
Mobile
News
Old
Owner
Reception
Started
Status
Reader
Also
Including
Labs
reception
Owner
Started
Status
Reader's
Site
Users
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For The Old Reader, one of the stronger structural bridges in this analysis connects The Old Reader 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
The Old Reader — Overview· splits 13 ⟂ 5The Old Reader — Mobile applications· splits 13 ⟂ 5The Old Reader — Features· splits 14 ⟂ 4The Old Reader — Reception· splits 15 ⟂ 3
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
The Old Reader
Nodes18
Edges17
Triples49
Avg. degree1.89
Density0.111111
Components1
Source & methodology
TTTA analyzes the structure around The Old Reader to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications, Mobile applications & Features, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
