Social Media Analytics (1) Klout and Algorithims

A short post today about analysing your social media impact.

Opinions vary about the usefulness of this, especially since the results are based on aalgorithims that we do not, as end users, have access to. Rumours abound on social media about how these algorithims work, so I would have to add this proviso when inspecting your own analysis:

  • algorithims do not take full account of your influence online
  • algorithims tend to downgrade your score according to the amount of contact you have with lower scored members- this can run counter to efforts to promote digital engagement, and to mentoring newer members of social networks.
  • there is no accepted final evaluation technique of network influence- all we have are the products available to us online, which are subject to the above provisos.
  • algorithims are, however quite fascinating. See this fantastic TED Talk by KevinSlavin:
You will be able to see industry leaders in your topics of interest are generally at the top of lists whichever product you use, what is harder is to correctly capture the influence of people who are not “power users” of social media.
This can mean that job role can have an impact on the eventual scores- if your job does not allow you to Tweet regularly, then you may have a lower score no matter howw reliable and trusted your links will be.
  1. Klout this free service recently tweaked it’s algorithim; some users were unaffected whilst others (including me!) saw their score reduce significantly. What does that mean? Watch this video to find out:

Klout allows us to offer +K to our “influencers”, people who have contributed to our understanding of a topic of mutual interest. It shows which topics we are supposed to be influential about, although this is a bit of a standing joke- most people hae experienced some confusion the first time they are announced to be influential about, for instance popcorn, skating, or entymology, if they have only ever Tweeted about their professional interests! Mashable have developed this guide to Klout.

That’s all for this post, next time I will be looking at other ways to measure online influence including:

  1. Peer Index
  2. Tweet Reach

I am an Occupational Therapist, who writes about health, particularly mental health. I am interested in social media and Web 2.0, and where these technological advances can support wellness and health.

Tagged with: , , ,
Posted in Analytics, Digital Inclusion, Klout, Social Media, Social Media, Web 2.0
3 comments on “Social Media Analytics (1) Klout and Algorithims
  1. [...] has described in her blog here,  background about Klout and measures of influence in general and I won’t repeat her – not [...]

  2. [...] If you’d like to know more about metrics and their measurement then take a peak at the post written by @Ermintrude2 that you can read here and that post built on an introductory one from @ClaireOT which you can read here. [...]

  3. [...] Social Media Analytics (1) Klout and Algorithims A short post today about analysing your social media impact. Opinions vary about the usefulness of this, especially since the results are based on aalgorithims that we do not, as end users, have access to. Source: [...]

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I'm an OT called Claire. I write about health, particularly mental health, and also about Social Media and Web 2.0 technology. I am particularly interested where these two fields overlap.
I believe that we all hold the potential for Recovery- let's grow together.

TWIM Blog Awards 2012
This Week In Mentalists Blog  Awards 2012

I'm chuffed to bits to have been shortlisted!

Kred top 50 Health Bloggers
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