Networked individuals predict a community wide outcome from their local information

摘要

The term ‘viral’ is used to describe a phenomenon that tends to be shared by those who encounter it. This paper considers the act of responding positively to a phenomenon by sharing it with others, something exemplified by the online social media acts of choosing to ‘like’ on Facebook, ‘retweet’ on Twitter, or by a similar mechanism on websites such as LinkedIn, Flickr or Pinterest. Using a threshold model of influence, simulations are run on four network structures where a critical mass chooses to share a phenomenon that eventually either goes viral or does not. The data collected are examined to determine whether an individual node can make an accurate prediction about the state of the entire network just from information on the behavior of their neighbors. The intention is to study what it is in terms of network structure that makes an individual good at sensing the zeitgeist, or ‘spirit of the age’.