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Vaccine hesitancy, or the reluctance to be vaccinated, is a phenomenon thathas recently become particularly significant, in conjunction with thevaccination campaign against COVID-19. During the lockdown period, necessary tocontrol the spread of the virus, social networks have played an important rolein the Italian debate on vaccination, generally representing the easiest andsafest way to exchange opinions and maintain some form of sociability. Amongsocial network platforms, Twitter has assumed a strategic role in driving thepublic opinion, creating compact groups of users sharing similar views towardsthe utility, uselessness or even dangerousness of vaccines. In this paper, wepresent a new, publicly available, dataset of Italian tweets, TwitterVax,collected in the period January 2019--May 2022. Considering monthly data,gathered into forty one retweet networks -- where nodes identify users andedges are present between users who have retweeted each other -- we performedcommunity detection within the networks, analyzing their evolution andpolarization with respect to NoVax and ProVax users through time. This allowedus to clearly discover debate trends as well as identify potential key momentsand actors in opinion flows, characterizing the main features and tweetingbehavior of the two communities.

Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis