Diffusion of real-time information in social-physical networks

摘要: We study the diffusion behavior of real-time information. Typically, information is valuable only for a limited time duration, and hence needs to be delivered before its “deadline.” Therefore, much easier spread among group people with frequent interactions than between isolated individuals. With this insight, we consider social network which consists many cliques can quickly within clique. Furthermore, also shared through online networks, such as Facebook, twitter, Youtube, etc. characterize by studying phase transition behaviors. Capitalizing on theory inhomogeneous random show that has critical threshold above epidemics are very likely happen. theoretically quantify fractional size individuals finally receive message. The numerical results indicate could propagate in when large exist.