
Fang Wu and
Bernardo A. Huberman
HP Laboratories
Palo Alto, CA 94304
Abstract
We present a dynamical theory of opinion formation that
takes explicitly into account the structure of the social
network in which individuals are embedded. The theory
predicts the evolution of a set of opinions through the
social network and establishes the existence of a martingale
property, i.e. that the expected weighted fraction of the
population that holds a given opinion is constant in time.
Most importantly, this weighted fraction is not either zero
or one, but corresponds to a non-trivial distribution of
opinions in the long time limit. This coexistence of
opinions within a social network is in agreement with the
often observed locality effect, in which an opinion or a fad
is localized to given groups without infecting the whole
society. We verified these predictions, as well as those
concerning the fragility of opinions and the importance of
highly connected individuals in opinion formation, by
performing computer experiments on a number of social
networks.
Full paper: opinions.pdf

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