Online Social Networks Can Be Tipped By Less Than 1% of Their Population - Slashdot
Jun-04 2012 / 19:15 EDT

Slashdot - Online Social Networks Can Be Tipped By Less Than 1% of Their Population:

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' in...