Discover the true influencers in any healthcare topic
Healthcare Influencer Analysis
SymplurRank – the only influencer algorithm developed specifically for healthcare and trusted by academic researchers, government offices and pharma.
Influencer identification that relies solely on data from generic metrics like Followers, Tweets, and Mentions is flawed as they are easily manipulated. That’s why we developed two proprietary, recursive algorithms: SymplurRank and HSG Score. Because they are applied within the Healthcare Social Graph—a neural network made up of billions of data points on the hundreds of millions of unique users whose activity we have indexed in this space since 2011—we are able to provide the most accurate and trustworthy way to identify the true influencers in any healthcare topic.One aspect of influencer analysis asks:How often are you being mentioned, and by whom? How influential are the accounts mentioning you? And, how influential are the accounts mentioning them? And, how influential are the accounts mentioning them… and so forth! The algorithm loops through itself in this fashion about a thousand times over, and results in a value that measures your level of influence—it’s what we call your HSG Score. It is a recursive algorithm, much like Google’s PageRank algorithm that determines the rank of their search results.
Additionally, our algorithms take into account which healthcare stakeholders are mentioning you. Mentions from accounts such as a known doctor, patient advocate, government/public health agency, etc., carry more weight. Mentions from an unknown party are significantly discounted.
Our algorithms calibrate to the highly specialized and differentiated areas of healthcare. For example, if your goal is to identify influential cardiologists, you are most likely using Symplur Signals to analyze cardiology-related discussions. In this case, the HSG Score gives greater weight to conversations and mentions from parties who themselves are specifically influential in cardiology, as opposed to those from parties who are influential in dermatology.
This same dynamic weight assignment applies at an even deeper granular level, allowing you to identify key opinion leaders (KOLs) in the broad topic of cardiology and within specific sub-topics such as hypertension, arrhythmias, or hyperlipidemia.