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[L’idée : adapter en talkshows-débats des sujets trouvés en ligne.] [Prenez plaisir à partager vos idées dans nos talkshows maison, avec des gens smart, connectés et structurants : cliquez ci-dessous pour postuler comme speaker : ] [PARTICIPER_#FFFFFF_#0489B1_#088A29_300] Jan. 21, 2014        Robert Galbraith / Reuters Social media is like a disease that spreads, and then dies Facebook’s growth will eventually come to a quick end, much like an infectious disease that spreads rapidly and suddenly dies, say Princeton researchers who are using diseases to model the life cycles of social media. Disease models can be used to understand the mass adoption and subsequent flight from online social networks, researchers at Princeton’s Department of Mechanical and Aerospace Engineering say in a study released Jan. 17. The study has not been peer-reviewed. Updating traditional models on disease spread to assume that “recovery” requires contact with a nondiseased member — i.e., a nonuser of Facebook (“recovered” member of the population) — researchers predicted that Facebook would see a rapid decline, causing the site to lose 80% of its peak user base between 2015 and 2017. Basically, Facebook users will lose interest in Facebook over time as their peers lose interest — if the model is correct. “Ideas, like diseases, have been shown to spread infectiously between people before eventually dying out, and have been successfully described with epidemiological models,” write the researchers. You can check out the full study   here .  
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Jan. 21, 2014

    

 

Robert Galbraith / Reuters

Social media is like a disease that spreads, and then dies

Facebook’s growth will eventually come to a quick end, much like an infectious disease that spreads rapidly and suddenly dies, say Princeton researchers who are using diseases to model the life cycles of social media.

Disease models can be used to understand the mass adoption and subsequent flight from online social networks, researchers at Princeton’s Department of Mechanical and Aerospace Engineering say in a study released Jan. 17. The study has not been peer-reviewed. Updating traditional models on disease spread to assume that “recovery” requires contact with a nondiseased member — i.e., a nonuser of Facebook (“recovered” member of the population) — researchers predicted that Facebook would see a rapid decline, causing the site to lose 80% of its peak user base between 2015 and 2017.

Basically, Facebook users will lose interest in Facebook over time as their peers lose interest — if the model is correct. “Ideas, like diseases, have been shown to spread infectiously between people before eventually dying out, and have been successfully described with epidemiological models,” write the researchers.

You can check out the full study here.

 

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