Klout and Peer Index Scoring

Klout Score

The Klout Score is the measurement of your overall online influence. The scores range from 1 to 100 with higher scores representing a wider and stronger sphere of influence. Klout uses over 35 variables on Facebook and Twitter to measure True Reach, Amplification Probability, and Network Score.

True Reach is the size of your engaged audience and is based on those of your followers and friends who actively listen and react to your messages. Amplification Score is the likelihood that your messages will generate actions (retweets, @messages, likes and comments) and is on a scale of 1 to 100. Network score indicates how influential your engage audience is and is also on a scale from 1 to 100. The Klout score is highly correlated to clicks, comments and retweets.

We believe that influence is the ability to drive people to action — “action” might be defined as a reply, a retweet, a comment, or a click. We perform significant testing to ensure that the average click-through rate on links shared is highly correlated with a person’s Klout Score. The 25+ variables used to generate scores for each of these categories are normalized across the whole data set and run through our analytics engine. After the first pass of analytics, we apply a specific weight to each data point. We then run the factors through our machine-learning analysis and calculate the final Klout Score. The final Klout Score is a representation of how successful a person is at engaging their audience and how big of an impact their messages have on people.

True Reach

True Reach is the size of your engaged audience. We eliminate inactive and spam accounts, and only include accounts that you influence. To do this we calculate influence for each individual relationship taking into account factors such as whether an individual has shared or acted upon your content and the likelihood that they saw it.

True Reach is broken into the following subcategories:

  • Reach
    • Are your tweets interesting and informative enough to build an audience?
    • How far has your content been spread across Twitter?
    • Are people adding you to lists and are those lists being followed?
  • Demand
    • How many people did you have to follow to build your count of followers?
    • How often are your follows reciprocated?

Factors measured: Followers, Mutual Follows, Friends, Total Retweets, Unique Commenters, Unique Likers, Follower/Follow Ratio, Followed Back %, @ Mention Count, List Count, List Followers Count.

Amplification Probability

Amplification Probability is the likelihood that your content will be acted upon. How often do your messages generate retweets or spark a conversation? The ability to create content that compels others to respond and high-velocity content that spreads into networks beyond your own is a key component of influence.

Amplification Ability is a composite of the following subcategories:

  • Engagement
    • How diverse is the group that @ messages you?
    • Are you broadcasting or participating in conversations?
  • Velocity
    • How likely are you to be retweeted?
    • Do a lot of people retweet you or is it always the same few followers?
  • Activity
    • Are you tweeting too little or too much for your audience?
    • Are your tweets effective in generating new followers, retweets and @ replies?

Factors measured: Unique Retweeters, Unique Messages Retweeted, Likes Per Post, Comments Per Post Follower Retweet %, Unique @ Senders, Follower Mention %, Inbound Messages Per Outbound Message, Update Count.

Network Influence

Network Influence is the influence level of your engaged audience. Engagement is measured based on actions such as retweets, @messages, follows, lists, comments, and likes. Each time a person performs one of these actions it is a testament to the authority and the quality of your content. Capturing the attention of influencers is no easy task, and those who are able to do so are typically creating spectacular content. Network Score looks at the Klout score of each person who interacts with you to determine:

  • How influential are the people who @ message you?
  • How influential are the people who retweet you?
  • How influential are the people who follow you?
  • How influential are the people who list you?
  • How influential are the people who follow the lists you are on?

Factors measured: List inclusions, Follower/Follow Ratio, Followed Back %, Unique Senders, Unique Retweeters, Unique Commenters, Unique Likers, Influence of Followers, Influence of Retweeters and Mentioners, Influence of Friends, Influence of Likers and Commenters.

Resource: http://klout.com/kscore?from=ks

About your PeerIndex score

Your overall PeerIndex score is a relative measure of your online authority. This score reflects the impact of your online activities, and the extent to which you have built up social and reputational capital on the web.

At its heart PeerIndex addresses the fact that merely being popular (or having gamed the system) doesn’t indicate authority. Instead we build up your authority finger print on a category-by-category level using eight benchmark topics.

Someone, however, cannot be authority without a receptive audience. We don’t simply mean a large audience but one that listens and is receptive. To capture this aspect PeerIndex Rank includes the audience score we calculate for each profile.

Finally, we include the activity score so account for someone who is active has a greater share of attention of people interested in the topics they are interested in.

About PeerIndex’s authority score

Authority is the measure of trust; how much can you rely on that person’s recommendations and opinion on a given topic.

We calculate the authority in our eight benchmark topics for every profile. These are used to generate the overall authority score as well as produce the PeerIndex Footprint diagram.

The authority is a relative positioning against everyone else in each benchmark topic. The rank is a normalised measure against all the other authorities in the topic area.

About PeerIndex’s topic resonance score

Related to benchmark authority is topic resonance. This is a measure how your actions within a topic interest community resonant with the community. Again what goes on in the community than your single action.

We only calculate resonance for topics that we have found to have a large enough community to produce a reasonable result. Although, you will only see the top five topics on the profile pages, we calculate for all topics we’ve detected you in.

About PeerIndex’s audience score

Audience is indication of your reach. It is not simply determined by the number of people who follow you, but instead generate from the number of people who listen and are receptive to what you are saying.

Being followed by large number of spam accounts, bots, inactive accounts will reduce your audience score. The audience takes into account the relative size of your audience to the size of the audiences for the rest of community.

About PeerIndex’s activity score

Activity is the measure of how much you do that is related to the topic area. Being to active and people will stop listening to you and if you are too inactive people will never know to listen to you. The Activity Score takes into account this behaviour.

Like the other scores Activity Score is done relative to the community. If you are part of a community that has lots of activity your level of activity will need to be higher to achieve the same relative score as in a topic that has a lot less activity.

About PeerIndex’s realness score

Realness is a metric that indicates the likelihood that the profile is of a real person, rather than a spambot or twitter feed. A score above 50 means we think this account is of a real person, a score below 50 means it is less likely to be a real person.

When we first come across a new profile, we give it a score of 50. Initially, we don’t have the information one way or the other to make any determination. As we gather more information we move the number either way.

We look at a range information to generate realness such as whether the profile is claimed and been linked to Facebook or LinkedIn. We are continually adding new signals to our realness calculations to improve it.

Our calculations are modified by the realness metric. We do this to penalise non-real people. Claiming your profile will boost your authority, audience and activity scores and consequently your PeerIndex as well.

Normalization of scores

Before we present PeerIndex scores back to you, we normalize them. This means every number in PeerIndex is based on a scale of 1 to 100, showing relative positions. We find scores presented in this fashion tend to be easier to digest and compare.

We use an aggressive normalization calculation which helps you discriminate between top authorities. The benefit is that you can more easily understand who the top authorities are. The trade-off is that many of us end up with seemingly lower scores.

Here’s an example: If you are in the top 20% by authority in a topic like climate change, it means you have higher authority than 80% of other people who we measure within this topic. Your normalized authority score for this topic (the one displayed on your page) will be in the range of 55 to 65 (that is, significantly lower than 80).

But remember, a score of 60 puts you higher that 80% of people we track in that topic. A score of 65, means you rank higher than 95% of the people we track. And we focus on tracking the top people on a specific topic, not just anyone.

Future directions for our rankings

We continually evolve the algorithms to improve their value. In addition to refinements to the audience, activity and authority calculations we will be:

  • Improving our range of automatically generate topics using additional semantic processing.
  • Increasing the sample sizes to remove biases.
  • Extending various metrics to be calculated on a topic community basis and rolling into the overall calculations.

Resource: http://www.peerindex.net/help/scores

Buzz Mouth Score

Buzz Mouth calculates a score on a combination of viral loop and viral coefficient taking into consideration over 50 variables including velocity, amplification, credibility and activity.

Resource: http://www.buzzmouth.com

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