Network Theorists are trying to decide how to decide if a movie for an example or information entered online will become viral. Xiao Fang at the University of Utah in Salt Lake City developed a theory that if less than ? per cent of respondents like a product or service online then it can be predicted that there will be no product sales. Historical data is easily tested than data that is current. The real test of Fang’s idea is relevant to the current data in which theories tested if valid could help network theorists know more about viral marketing.

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Viral Marketing Successfully Modelled By Network Theorists – MIT Technology Review