À partir d’une analyse de 22 millions de micro-billets, une équipe de HP a conçu un algorythme capable d’identifier les Tweeters les plus influents.
- Le résumé de la recherche sur le le blogue de HP ;
- La recherche Influence and Passivity on Social Media.
– “Passivity” is a measure of how difficult it is for other users to influence him or her
– “Influence” depends on both the quantity and quality of the user’s audience
The paper concludes: “This study shows that the correlation between popularity and influence is weaker than it might be expected. This is a reflection of the fact that for information to propagate in a network, individuals need to forward it to the other members, thus having to actively engage rather than passively read it and cease to act on it.”
