A Social Diffusion Model with an Application on Election Simulation

Algorithm 1

Preference propagation model.

𝑅: iteration number; 𝑃: initial preference profiles

𝐸: susceptible matrix; 𝐹: forwarding matrix

𝑁: normalization matrix

𝑆(0)=𝑃𝑟𝑒𝑓𝑒𝑟𝑒𝑛𝑐𝑒𝑇𝑜𝑆𝑐𝑜𝑟𝑒(𝑃)

for  𝑡=0  to  𝑅 do

 𝑆_𝑝(𝑡)=𝐹𝑆(𝑡)

 𝑆_𝑛(𝑡)=𝑁𝑆_𝑝(𝑡)

 𝑆(𝑡+1)=𝐸𝑆(𝑡)+(𝐼−𝐸)𝑆_𝑛(𝑡)

end for

return  𝑆(𝑅)