Picture from Onalytica Blog, in a blogpost explains how Person A might intially influence many, but those do not go on to influence many more.  While Person B does not influence many in the beginning, those influenced go on to influence more and more.

Picture from Onalytica Blog, in a blogpost explains how Person A might intially influence many, but those do not go on to influence many more. While Person B does not influence many in the beginning, those influenced go on to influence more and more.

While measuring the outcomes and return on investment are good ways to determine if a social media tool is affecting other people, another place to look would be to influencers.  Your blog may be popular, but popularity does not always add up to influence.  You want to know if the people you are influencing are in turn influencing more and more people.  You will want to have a chain reaction instead of a one-stop situation. 

 Heather Yaxley, a teacher of CIPR qualfications and a part-time professor at Bournemouth University, states that real influencers have credibility and can be trusted as a spokesperson.  Even if you reach a large number of people, can they be trusted to influence other people, therefore bringing a larger audience back to you? 

 These ‘real influencers’ that you want to reach are an active audience.  They reach another audience that might be beyond your initial scope, but are another active audience that will get drawn to you, because of the first set of influencers.  This is the kind of chain reaction you are looking for.  You are looking for the influence, not the popularity.

 Yaxley references Google as the “word of mouth on steroids.”  A Google ranking is a measurement of a site’s popularity, but not necessarily it’s influence. 

 So how do you really measure influence?

 Flemming Madsen, publisher of the Onalytica blog, gives an example of how influence is actually measured.  He wanted to find out who the world got information from about the bird flu.  They wanted to know who people relied on the most, which would be the person with the most influence. 

 To measure influence, they used the method of citation analysis.  This is where you collect everything that has referenced a certain topic, which then creates a specific equation that will provide the relative influence of each journal, article, website, etc.  The equation figures out who was referencing whom.  It looks at how the chain reaction was created and identifies the influencers.