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Social Networks Science

Online Social Networks Can Be Tipped By Less Than 1% of Their Population 125

An anonymous reader writes "A new algorithm developed by researchers at West Point seems to break new ground for viral marketing practices in online social networks. Assuming a trend or behavior that spreads in an online social network based on the classic 'tipping' model from sociology (based on the work of Thomas Schelling and Mark Granovetter), the new West Point algorithm can find a set of individuals in the network that can initiate a social cascade – a progressive series of 'tipping' incidents — which leads to everyone in the social network adopting the new behavior. The good news for viral marketers is that this set of individuals is often very small – a sample of the Friendster social network can be influenced when only 0.8% of the initial population is seeded. The trick is finding the seed set. The algorithm is described in a paper to be presented later this summer at the prestigious IEEE ASONAM conference."
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Online Social Networks Can Be Tipped By Less Than 1% of Their Population

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  • by CohibaVancouver ( 864662 ) on Monday June 04, 2012 @02:04PM (#40211231)

    Friendster? Wow, you could influence, like, 300 people

    American-centrist much, you insensitive clod?

    From []

    Since the relaunch of Friendster as a social gaming platform in June 2011, the number of registered users has reached over 115 million. Over 90% of Friendster's traffic came from Asia. The top 10 countries accessing Friendster, according to Alexa, as of May 7, 2009 are the Philippines, Indonesia, Malaysia, Singapore, Thailand, Pakistan, United Arab Emirates, Sudan, South Korea, Bangladesh and India

The last thing one knows in constructing a work is what to put first. -- Blaise Pascal