Different Models For Information Dissemination In Generalized Social Networks
Information dissemination dynamics is an important performance index for characterizing the speed and scope of
information dissemination in a network. Several analytical models have been proposed to estimate the information
dissemination dynamics for social networks adopting a susceptible-infected information propagation model and having a
constant informed rate. Here we extend existing model to analyze the social networks adopting either a susceptible-infected
or an independent cascade information propagation model and having a time varying informed rate. Validated by
simulations, our model demonstrates its flexibility and applicability to approximate the complicated propagation behaviours
of advertisement-like or malware-like information.