During the period between October and December 2016, we used our algorithm to find out the most relevant Twitter influencers about vaccines. We performed a multilevel study to categorize the accounts and to identify the most relevant hashtags.
We analysed 869 accounts and categorized 373 of them:
How many ways are there to tell a story and who will do it? In these months we tried to answer those questions by running an analysis of the most relevant tweets and accounts about some key words, chosen by the editorial board, focused on Zika virus and vaccines. We then developed an application to identify the most influential Twitter users on specific topics, according to a list of hashtag we have provided.
