Twitter : une étude sur les influenceurs

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.

– “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.”

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