The scoring mechanism for the 2018 #BeHealth influencer list is based on four different metrics which are then combined into one score.

The four metrics are calculated using Metcalfe’s Law:

• F: The number of times the tweets of a user have been favourited (or liked) in relation to the number of different users that favourited them.
• R: The number of times the tweets of a user have been retweeted in relation to the number of different users that retweeted them.
• I: The number of interactions a user had (through the Twitter reply feature)in relation to the number of different users with which the interactions occurred.
• M: The number of times a user has been mentioned in relation to the number of different users that mentioned them.

These four metrics are weighted and combined into one score that results in the ranking.

Score = 0.3 * F + 0.3 * R + 0.2 * I + 0.2 * M

For the real fanatics, this is how we use Metcalfe’s law to calculate F for example:√(Ft*Fu²) Here Ft is the number of favourited tweets and Fu is the number of different users that favourited the user’s tweets. We apply the exact same process for the other metrics.

What’s different compared to other scores such as the Klout score is that this report only takes into account actions that come from within this group of healthcare professionals. This way there is automatically a focus on people that share healthcare related content.

The scoring mechanism doesn’t take into account the number of followers a Twitter user has as this is on Twitter not always a sign of being influential. There are many bots crawling around on Twitter to follow you automatically when you tweet with a certain hashtag for example. By only monitoring how influential someone is in a certain community, in our case a community of 2700 users, the number of followers as such is irrelevant.