Topical Trust Flow now in Historic Data

By Dixon Jones July 4, 2014

I am delighted to be able to confirm that you can now look at the topics of URLs and link going back for over five years!

We have managed to calculate topicality scores against 800 topics and 2,754,580,870,168 (2.7 trillion) URLs. That’s 2 Quadrillion calculation according to another specialist search engine – although to be fair, most calculations are more or less zero as not all pages have trust or relevance on all topics:

Screen Shot 2014-07-04 at 10.07.00

This is 110 X number of red blood cells in your body.

What can I Do With This Data?

Remember Boo.com? It was one of the early .com businesses and built and bust a clothing empire. It failed well before we started crawling the web, but became a parked domain for many years. Now – however – I see it is redirecting to a hostel website these days. So let’s see if what Happens with the Topical Trust Flow when short term and long term insights are compared:

Boo.com Historically

Boo.com Historically

 

Boo.com in the last 90 days

Boo.com in the last 90 days

 

We can immediately see the change of use for boo.com. Indeed – as the scores are logarithmic, the 18/100 that we show for travel makes up about 63% of the overall Trust (as shown in the blue on the left hand pie chart) but traditionally boo.com has been all about computer related topics – almost all due to boo.com being the poster child of the first dotcom boom and bust era and the subject of many a case study.

There are many more uses, I would imagine, of being able to see Topical Trust Flow in historic data. I would love to hear some of your use cases and ideas either below of in blog posts.

What the heck is Topical Trust Flow?

Oh sorry – you may have missed the memo.

Posted In: Development

4 Responses to “Topical Trust Flow now in Historic Data”

  1. Powerhorse said:

    July 04, 2014 at 1:29 pm

    Perhaps this also could be used for political analysis ? (if topics are precise enough for this ?)

    So to see how political topics change and become more or less relevant on the internet. It could be used to monitor political trends, as example if a political party is supported by more left, liberal or conservative groups. And wich political topics are the most important for the people in the internet.

    If analysed on thousands of political websites it might show opinion and relevance shifts even before the official opinion polls can get it.

  2. M Aamir said:

    July 04, 2014 at 6:12 pm

    Its very important to take Historical Data before keyword research, Adword campaign or any online campaign

  3. Sociologist said:

    July 08, 2014 at 11:53 am

    Very interesting. Is there a way to make a toplist of the 100 most important Wikipedia articles ?