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Fig. 2 | BMC Public Health

Fig. 2

From: Using text mining and sentiment analysis to analyse YouTube Italian videos concerning vaccination

Fig. 2

Co-occurrence Network (CON) based on Betweeness centrality index for Italian Youtube videos concerning vaccines in 2018 (from May to October). Nodes corresponding text in english is: “conferenze” = conference, “scolastico,scuola” = school, “decreto” = decree, “classe” = class, “ministero” = ministry, “intervento” = intervention, “centro” = center, “termine” = deadline, “circolare” = school memorandum, “bimbo,bambino” = child, “bambini” = children, “obbligatorio, obbligo” = compulsory, “mamma” = mother, “vaccinare” = vaccine, “figlio” = son, “rischio” = risk, “regione” = region, “assessore” = councillor, “autocertificazione” = self-declaration, “bastare” = enough, “vaccinazione” = vaccination, “gravidanza” = pregnancy, “parlare” = talk about, “questione” = issue, “senato” = senate, “presidente” = president, “genitore” = parent, “salute, sanità” = health, “malattia” = illness, “scelta” = choice, “libertà” = freedom, “ministro” = minister, “regionale” = regional, “legge” = law, “medico” = medical doctor, “asl” = local health authority, “salvini” = Salvini (italian politician), “grillo” = “Giulia Grillo (italian health ministry from 1 June 2018)”, “lorenzin” = Lorenzin (italian politician responsible for the decree for increased compulsory vaccinations; up to 1 June 2018 italian health ministry), “padova” = Padua (italian city where took place many protests no-vax, no-vaccination compulsory)

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