Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Microsoft Points, introduced in November 2005 as Xbox Live Points, were a digital currency issued by Microsoft for use on its Xbox and Zune product lines. Points could be used to purchase video games and downloadable content from Xbox Live Marketplace, digital content such as music and videos on Zune Marketplace, along with content from Windows Live Gallery.
The analysis highlights Products, Discontinuation and Criticism as prominent areas in the source structure around Microsoft Points.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Microsoft Points shows recurring relationship patterns in the source. For example, Microsoft Points → August, Currency, E3, Groove Music, However, In May, June, Microsoft Movies, Microsoft's, Points, The Xbox, TV, Users, Windows, Windows Phone Store, Windows Store, Xbox, Xbox Music, Xbox One, Xbox Video Another extracted example is Microsoft Points → Aaron Greenberg, But, In, Microsoft, Paul Thurrott, Points, So, The Microsoft Points, Walter Mossberg, Xbox, You, Zune. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
points microsoft xbox zune currency 2013 digital purchase local windows would using 360 converted live distribution cards 400 used users
TTTA extracted 52 structured relationships around Microsoft Points. Examples in this analysis include Microsoft Points → .mw-parser-output .nobold{font-weight:normal} Freq. used → Cards of 200, 400, 700, 800, 1200, 1400, 1500, 1600, 2000, 2100, 2800, 3000, 3500, 4000, 4200, 4500, 6000 and Microsoft Points → Central bank → Microsoft. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Microsoft Points | .mw-parser-output .nobold{font-weight:normal} Freq. used | Cards of 200, 400, 700, 800, 1200, 1400, 1500, 1600, 2000, 2100, 2800, 3000, 3500, 4000, 4200, 4500, 6000 | 1.00 | infobox |
| Microsoft Points | Central bank | Microsoft | 1.00 | infobox |
| Microsoft Points | Plural | Points, Microsoft Points, MSP | 1.00 | infobox |
| music | instance of | digital content | 0.80 | text |
| videos on Zune Marketplace | instance of | digital content | 0.80 | text |
| along with content from Windows Live Gallery.In June 2013 | instance of | digital content | 0.80 | text |
| Microsoft announced that it would phase out Microsoft Points by the end of 2013 | instance of | digital content | 0.80 | text |
| in favor of using local cash currencies | instance of | digital content | 0.80 | text |
| Microsoft Points | related to Criticism | The Microsoft Points | 0.60 | section |
| Microsoft Points | related to Criticism | In | 0.60 | section |
| Microsoft Points | related to Criticism | Zune | 0.60 | section |
| Microsoft Points | related to Criticism | Paul Thurrott | 0.60 | section |
The concept neighborhoods around Microsoft Points bring nearby vocabulary together. In this analysis, examples include Points, Xbox and Currency. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Microsoft Points, one of the stronger structural bridges in this analysis connects Microsoft Points 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.
TTTA analyzes the structure around Microsoft Points to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Products, Discontinuation & Criticism, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Microsoft Points · EN edition · Analysis: TopicsToTalkAbout