Healthcare Social Graph® Score is an algorithm developed by Symplur for accurately identifying and ranking true influencers of any healthcare conversation.
The algorithm solves the weaknesses found in the simplistic metrics that are too easily manipulated such as the number of mentions, tweets, followers, etc.
The Healthcare Social Graph Score algorithm considers each Twitter account’s conversation graph by recursively analyzing the healthcare influence of each individual conversation partner and then the conversation partner’s own conversation partners' influence, and so on. In this respect, it is similar to modern impact factor algorithms for academic journals and Google’s PageRank.
This algorithm is designed specifically for healthcare and therefore takes into consideration what healthcare stakeholder group any account belongs to. In other words, it matters what role a person has in healthcare. If for example an account is conversing or being mentioned by another account that is not known to be related to healthcare, then that conversation and those mentions will be seen as of little worth by the algorithm. If on the other hand the conversation and mentions are made by a doctor, then that is seen as weighing positively by the algorithm. See Healthcare Stakeholder for more information on stakeholders.